- See Also
-
Links
- “Understanding the Diffusion Objective As a Weighted Integral of ELBOs”, 2023
- “Dreamix: Video Diffusion Models Are General Video Editors”, Et Al 2023
- “Training Stable Diffusion from Scratch Costs <$160k”, 2023
- “Imitating Human Behaviour With Diffusion Models”, Et Al 2023
- “Archisound: Audio Generation With Diffusion”, 2023
- “Msanii: High Fidelity Music Synthesis on a Shoestring Budget”, 2023
- “DIRAC: Neural Image Compression With a Diffusion-Based Decoder”, Et Al 2023
- “Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation”, Et Al 2022
- “Point·E: A System for Generating 3D Point Clouds from Complex Prompts”, Et Al 2022
- “The Stable Artist: Steering Semantics in Diffusion Latent Space”, Et Al 2022
- “Multi-Concept Customization of Text-to-Image Diffusion”, Et Al 2022
- “Multi-resolution Textual Inversion”, 2022
- “Latent Video Diffusion Models for High-Fidelity Video Generation With Arbitrary Lengths”, Et Al 2022
- “DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning”, Et Al 2022
- “VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models”, Et Al 2022
- “InstructPix2Pix: Learning to Follow Image Editing Instructions”, Et Al 2022
- “Null-text Inversion for Editing Real Images Using Guided Diffusion Models”, Et Al 2022
- “DiffusionDet: Diffusion Model for Object Detection”, Et Al 2022
- “Versatile Diffusion: Text, Images and Variations All in One Diffusion Model”, Et Al 2022
- “Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models”, Et Al 2022
- “EDiff-I: Text-to-Image Diffusion Models With an Ensemble of Expert Denoisers”, Et Al 2022
- “DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models”, Et Al 2022
- “Imagic: Text-Based Real Image Editing With Diffusion Models”, Et Al 2022
- “Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, Et Al 2022
- “On Distillation of Guided Diffusion Models”, Et Al 2022
- “Improving Sample Quality of Diffusion Models Using Self-Attention Guidance”, Et Al 2022
- “RealSinger: Ultra-Realistic Singing Voice Generation via Stochastic Differential Equations”, 2022
- “DreamFusion: Text-to-3D Using 2D Diffusion”, Et Al 2022
- “PFGM: Poisson Flow Generative Models”, Et Al 2022
- “Brain Imaging Generation With Latent Diffusion Models”, Et Al 2022
- “Soft Diffusion: Score Matching for General Corruptions”, Et Al 2022
- “Flow Straight and Fast: Learning to Generate and Transfer Data With Rectified Flow”, Et Al 2022
- “Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis”, Et Al 2022
- “DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation”, Et Al 2022
- “Understanding Diffusion Models: A Unified Perspective”, 2022
- “Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise”, Et Al 2022
- “Diffusion-QL: Diffusion Policies As an Expressive Policy Class for Offline Reinforcement Learning”, Et Al 2022
- “Prompt-to-Prompt Image Editing With Cross Attention Control”, Et Al 2022
- “An Image Is Worth One Word: Personalizing Text-to-Image Generation Using Textual Inversion”, Et Al 2022
- “Text-Guided Synthesis of Artistic Images With Retrieval-Augmented Diffusion Models”, Et Al 2022
- “NUWA-∞: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis”, Et Al 2022
- “IHDM: Generative Modelling With Inverse Heat Dissipation”, Et Al 2022
- “DiffC: Lossy Compression With Gaussian Diffusion”, Et Al 2022
- “Diffusion-GAN: Training GANs With Diffusion”, Et Al 2022
- “Compositional Visual Generation With Composable Diffusion Models”, Et Al 2022
- “Score-Based Generative Models Detect Manifolds”, 2022
- “DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps”, Et Al 2022
- “Elucidating the Design Space of Diffusion-Based Generative Models”, Et Al 2022
- “Improved Vector Quantized Diffusion Models”, Et Al 2022
- “Text2Human: Text-Driven Controllable Human Image Generation”, Et Al 2022
- “Maximum Likelihood Training of Implicit Nonlinear Diffusion Models”, Et Al 2022
- “Flexible Diffusion Modeling of Long Videos”, Et Al 2022
- “Imagen: Photorealistic Text-to-Image Diffusion Models With Deep Language Understanding”, Et Al 2022
- “Planning With Diffusion for Flexible Behavior Synthesis”, Et Al 2022
- “Diffusion Models for Adversarial Purification”, Et Al 2022
- “Semi-Parametric Neural Image Synthesis”, Et Al 2022
- “Video Diffusion Models”, Et Al 2022
- “KNN-Diffusion: Image Generation via Large-Scale Retrieval”, Et Al 2022
- “Perception Prioritized Training of Diffusion Models”, Et Al 2022
- “Diffusion Probabilistic Modeling for Video Generation”, Et Al 2022
- “Diffusion Causal Models for Counterfactual Estimation”, 2022
- “Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality”, Et Al 2022
- “From Data to Functa: Your Data Point Is a Function and You Should Treat It like One”, Et Al 2022
- “Denoising Diffusion Restoration Models”, Et Al 2022
- “DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents”, Et Al 2022
- “Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models Using Ideal Derivatives”, Et Al 2021
- “High-Resolution Image Synthesis With Latent Diffusion Models”, Et Al 2021
- “High Fidelity Visualization of What Your Self-Supervised Representation Knows About”, Et Al 2021
- “More Control for Free! Image Synthesis With Semantic Diffusion Guidance”, Et Al 2021
- “Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction”, Et Al 2021
- “VQ-DDM: Global Context With Discrete Diffusion in Vector Quantized Modelling for Image Generation”, Et Al 2021
- “Diffusion Autoencoders: Toward a Meaningful and Decodable Representation”, Et Al 2021
- “Vector Quantized Diffusion Model for Text-to-Image Synthesis”, Et Al 2021
- “Blended Diffusion for Text-driven Editing of Natural Images”, Et Al 2021
- “Classifier-Free Diffusion Guidance”, 2021
- “Unleashing Transformers: Parallel Token Prediction With Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes”, Bond- Et Al 2021
- “Restormer: Efficient Transformer for High-Resolution Image Restoration”, Et Al 2021
- “Tackling the Generative Learning Trilemma With Denoising Diffusion GANs”, Et Al 2021
- “Diffusion Normalizing Flow”, 2021
- “Palette: Image-to-Image Diffusion Models”, Et Al 2021
- “Unconditional Diffusion Guidance”, 2021
- “DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models”, 2021
- “Progressive Distillation for Fast Sampling of Diffusion Models”, 2021
- “Generative Probabilistic Image Colorization”, Et Al 2021
- “Bilateral Denoising Diffusion Models”, Et Al 2021
- “ImageBART: Bidirectional Context With Multinomial Diffusion for Autoregressive Image Synthesis”, Et Al 2021
- “Variational Diffusion Models”, Et Al 2021
- “LoRA: Low-Rank Adaptation of Large Language Models”, Et Al 2021
- “PriorGrad: Improving Conditional Denoising Diffusion Models With Data-Dependent Adaptive Prior”, Et Al 2021
- “Score-based Generative Modeling in Latent Space”, Et Al 2021
- “CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Et Al 2021
- “Learning to Efficiently Sample from Diffusion Probabilistic Models”, Et Al 2021
- “Gotta Go Fast When Generating Data With Score-Based Models”, Jolicoeur- Et Al 2021
- “Diffusion Models Beat GANs on Image Synthesis”, 2021
- “DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism”, Et Al 2021
- “Image Super-Resolution via Iterative Refinement”, Et Al 2021
- “Learning Energy-Based Models by Diffusion Recovery Likelihood”, Et Al 2021
- “Improved Denoising Diffusion Probabilistic Models”, 2021
- “Denoising Diffusion Implicit Models”, Et Al 2021
- “Maximum Likelihood Training of Score-Based Diffusion Models”, Et Al 2021
- “Score-Based Generative Modeling through Stochastic Differential Equations”, Et Al 2020
- “Denoising Diffusion Probabilistic Models”, Et Al 2020
- “Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning”, Et Al 2018
- “Improving Sampling from Generative Autoencoders With Markov Chains”, Et Al 2016
- “Deep Unsupervised Learning Using Nonequilibrium Thermodynamics”, Sohl- Et Al 2015
- “A Connection Between Score Matching and Denoising Autoencoders”, 2011
- “Optimal Approximation of Signal Priors”, 2008
- “Estimation of Non-Normalized Statistical Models by Score Matching”, 2005
- “Generative Modeling by Estimating Gradients of the Data Distribution”
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“Understanding the Diffusion Objective As a Weighted Integral of ELBOs”, 2023
“Understanding the Diffusion Objective as a Weighted Integral of ELBOs”, 2023-03-01 (similar)
“Dreamix: Video Diffusion Models Are General Video Editors”, Et Al 2023
“Dreamix: Video Diffusion Models are General Video Editors”, 2023-02-02 (; similar; bibliography)
“Training Stable Diffusion from Scratch Costs <$160k”, 2023
“Training Stable Diffusion from Scratch Costs <$160k”, 2023-012-24 (; similar)
“Imitating Human Behaviour With Diffusion Models”, Et Al 2023
“Imitating Human Behaviour with Diffusion Models”, 2023-01-25 (; similar)
“Archisound: Audio Generation With Diffusion”, 2023
“Archisound: Audio Generation With Diffusion”, 2023-01-16 (; similar; bibliography)
“Msanii: High Fidelity Music Synthesis on a Shoestring Budget”, 2023
“Msanii: High Fidelity Music Synthesis on a Shoestring Budget”, 2023-01-16 (; similar)
“DIRAC: Neural Image Compression With a Diffusion-Based Decoder”, Et Al 2023
“DIRAC: Neural Image Compression with a Diffusion-Based Decoder”, 2023-01-13 (; similar)
“Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation”, Et Al 2022
“Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation”, 2022-12-22 (; similar)
“Point·E: A System for Generating 3D Point Clouds from Complex Prompts”, Et Al 2022
“Point·E: A System for Generating 3D Point Clouds from Complex Prompts”, 2022-12-16 (similar; bibliography)
“The Stable Artist: Steering Semantics in Diffusion Latent Space”, Et Al 2022
“The Stable Artist: Steering Semantics in Diffusion Latent Space”, 2022-12-12 (similar)
“Multi-Concept Customization of Text-to-Image Diffusion”, Et Al 2022
“Multi-Concept Customization of Text-to-Image Diffusion”, 2022-12-08 (similar)
“Multi-resolution Textual Inversion”, 2022
“Multi-resolution Textual Inversion”, 2022-11-30 (similar)
“Latent Video Diffusion Models for High-Fidelity Video Generation With Arbitrary Lengths”, Et Al 2022
“Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths”, 2022-11-23 (; similar)
“DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning”, Et Al 2022
“DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning”, 2022-11-21 (; similar)
“VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models”, Et Al 2022
“VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models”, 2022-11-21 (; similar)
“InstructPix2Pix: Learning to Follow Image Editing Instructions”, Et Al 2022
“InstructPix2Pix: Learning to Follow Image Editing Instructions”, 2022-11-17 (; similar; bibliography)
“Null-text Inversion for Editing Real Images Using Guided Diffusion Models”, Et Al 2022
“Null-text Inversion for Editing Real Images using Guided Diffusion Models”, 2022-11-17 (; similar)
“DiffusionDet: Diffusion Model for Object Detection”, Et Al 2022
“DiffusionDet: Diffusion Model for Object Detection”, 2022-11-17 (similar; bibliography)
“Versatile Diffusion: Text, Images and Variations All in One Diffusion Model”, Et Al 2022
“Versatile Diffusion: Text, Images and Variations All in One Diffusion Model”, 2022-11-15 (similar)
“Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models”, Et Al 2022
“Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models”, 2022-11-04 (; similar)
“EDiff-I: Text-to-Image Diffusion Models With an Ensemble of Expert Denoisers”, Et Al 2022
“eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers”, 2022-11-02 (; similar; bibliography)
“DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models”, Et Al 2022
“DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models”, 2022-10-26 (similar)
“Imagic: Text-Based Real Image Editing With Diffusion Models”, Et Al 2022
“Imagic: Text-Based Real Image Editing with Diffusion Models”, 2022-10-17 (similar)
“Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, Et Al 2022
“Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, 2022-10-14 (; similar; bibliography)
“On Distillation of Guided Diffusion Models”, Et Al 2022
“On Distillation of Guided Diffusion Models”, 2022-10-06 (; similar; bibliography)
“Improving Sample Quality of Diffusion Models Using Self-Attention Guidance”, Et Al 2022
“Improving Sample Quality of Diffusion Models Using Self-Attention Guidance”, 2022-10-03 (; similar)
“RealSinger: Ultra-Realistic Singing Voice Generation via Stochastic Differential Equations”, 2022
“RealSinger: Ultra-Realistic Singing Voice Generation via Stochastic Differential Equations”, 2022-09-29 (; similar)
“DreamFusion: Text-to-3D Using 2D Diffusion”, Et Al 2022
“DreamFusion: Text-to-3D using 2D Diffusion”, 2022-09-29 (; similar)
“PFGM: Poisson Flow Generative Models”, Et Al 2022
“PFGM: Poisson Flow Generative Models”, 2022-09-22 (similar)
“Brain Imaging Generation With Latent Diffusion Models”, Et Al 2022
“Brain Imaging Generation with Latent Diffusion Models”, 2022-09-15 (; backlinks; similar)
“Soft Diffusion: Score Matching for General Corruptions”, Et Al 2022
“Soft Diffusion: Score Matching for General Corruptions”, 2022-09-12 (similar)
“Flow Straight and Fast: Learning to Generate and Transfer Data With Rectified Flow”, Et Al 2022
“Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow”, 2022-09-07 (similar)
“Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis”, Et Al 2022
“Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis”, 2022-08-29 (similar)
“DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation”, Et Al 2022
“DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation”, 2022-08-25 (similar; bibliography)
“Understanding Diffusion Models: A Unified Perspective”, 2022
“Understanding Diffusion Models: A Unified Perspective”, 2022-08-25 (similar)
“Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise”, Et Al 2022
“Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise”, 2022-08-19 (backlinks; similar)
“Diffusion-QL: Diffusion Policies As an Expressive Policy Class for Offline Reinforcement Learning”, Et Al 2022
“Diffusion-QL: Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning”, 2022-08-12 (; similar)
“Prompt-to-Prompt Image Editing With Cross Attention Control”, Et Al 2022
“Prompt-to-Prompt Image Editing with Cross Attention Control”, 2022-08-02 (similar)
“An Image Is Worth One Word: Personalizing Text-to-Image Generation Using Textual Inversion”, Et Al 2022
“An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion”, 2022-08-02 (backlinks; similar; bibliography)
“Text-Guided Synthesis of Artistic Images With Retrieval-Augmented Diffusion Models”, Et Al 2022
“Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models”, 2022-07-26 (; backlinks; similar)
“NUWA-∞: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis”, Et Al 2022
“NUWA-∞: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis”, 2022-07-20 (; similar; bibliography)
“IHDM: Generative Modelling With Inverse Heat Dissipation”, Et Al 2022
“IHDM: Generative Modelling With Inverse Heat Dissipation”, 2022-06-21 (similar)
“DiffC: Lossy Compression With Gaussian Diffusion”, Et Al 2022
“DiffC: Lossy Compression with Gaussian Diffusion”, 2022-06-17 (; similar)
“Diffusion-GAN: Training GANs With Diffusion”, Et Al 2022
“Diffusion-GAN: Training GANs with Diffusion”, 2022-06-05 (; similar)
“Compositional Visual Generation With Composable Diffusion Models”, Et Al 2022
“Compositional Visual Generation with Composable Diffusion Models”, 2022-06-03 (; similar)
“Score-Based Generative Models Detect Manifolds”, 2022
“Score-Based Generative Models Detect Manifolds”, 2022-06-02 (similar)
“DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps”, Et Al 2022
“DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps”, 2022-06-02 (similar)
“Elucidating the Design Space of Diffusion-Based Generative Models”, Et Al 2022
“Elucidating the Design Space of Diffusion-Based Generative Models”, 2022-06-01 (similar)
“Improved Vector Quantized Diffusion Models”, Et Al 2022
“Improved Vector Quantized Diffusion Models”, 2022-05-31 (; similar; bibliography)
“Text2Human: Text-Driven Controllable Human Image Generation”, Et Al 2022
“Text2Human: Text-Driven Controllable Human Image Generation”, 2022-05-31 (; similar)
“Maximum Likelihood Training of Implicit Nonlinear Diffusion Models”, Et Al 2022
“Maximum Likelihood Training of Implicit Nonlinear Diffusion Models”, 2022-05-27 (similar)
“Flexible Diffusion Modeling of Long Videos”, Et Al 2022
“Flexible Diffusion Modeling of Long Videos”, 2022-05-23 (; similar)
“Imagen: Photorealistic Text-to-Image Diffusion Models With Deep Language Understanding”, Et Al 2022
“Imagen: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding”, 2022-05-23 (; similar; bibliography)
“Planning With Diffusion for Flexible Behavior Synthesis”, Et Al 2022
“Planning with Diffusion for Flexible Behavior Synthesis”, 2022-05-20 (; backlinks; similar)
“Diffusion Models for Adversarial Purification”, Et Al 2022
“Diffusion Models for Adversarial Purification”, 2022-05-16 (similar; bibliography)
“Semi-Parametric Neural Image Synthesis”, Et Al 2022
“Semi-Parametric Neural Image Synthesis”, 2022-04-25 (; similar)
“Video Diffusion Models”, Et Al 2022
“Video Diffusion Models”, 2022-04-07 (; similar)
“KNN-Diffusion: Image Generation via Large-Scale Retrieval”, Et Al 2022
“KNN-Diffusion: Image Generation via Large-Scale Retrieval”, 2022-04-06 (; similar)
“Perception Prioritized Training of Diffusion Models”, Et Al 2022
“Perception Prioritized Training of Diffusion Models”, 2022-04-01 (similar)
“Diffusion Probabilistic Modeling for Video Generation”, Et Al 2022
“Diffusion Probabilistic Modeling for Video Generation”, 2022-03-16 (; similar)
“Diffusion Causal Models for Counterfactual Estimation”, 2022
“Diffusion Causal Models for Counterfactual Estimation”, 2022-02-21 (backlinks; similar)
“Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality”, Et Al 2022
“Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality”, 2022-02-11 (similar)
“From Data to Functa: Your Data Point Is a Function and You Should Treat It like One”, Et Al 2022
“From data to functa: Your data point is a function and you should treat it like one”, 2022-01-28 (; similar)
“Denoising Diffusion Restoration Models”, Et Al 2022
“Denoising Diffusion Restoration Models”, 2022-01-27 (similar)
“DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents”, Et Al 2022
“DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents”, 2022-01-02 (; similar)
“Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models Using Ideal Derivatives”, Et Al 2021
“Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives”, 2021-12-26 (similar)
“High-Resolution Image Synthesis With Latent Diffusion Models”, Et Al 2021
“High-Resolution Image Synthesis with Latent Diffusion Models”, 2021-12-20 (; backlinks; similar; bibliography)
“High Fidelity Visualization of What Your Self-Supervised Representation Knows About”, Et Al 2021
“High Fidelity Visualization of What Your Self-Supervised Representation Knows About”, 2021-12-16 (similar)
“More Control for Free! Image Synthesis With Semantic Diffusion Guidance”, Et Al 2021
“More Control for Free! Image Synthesis with Semantic Diffusion Guidance”, 2021-12-10 (; similar; bibliography)
“Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction”, Et Al 2021
“Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction”, 2021-12-09 (similar)
“VQ-DDM: Global Context With Discrete Diffusion in Vector Quantized Modelling for Image Generation”, Et Al 2021
“VQ-DDM: Global Context with Discrete Diffusion in Vector Quantized Modelling for Image Generation”, 2021-12-03 (; similar)
“Diffusion Autoencoders: Toward a Meaningful and Decodable Representation”, Et Al 2021
“Diffusion Autoencoders: Toward a Meaningful and Decodable Representation”, 2021-11-30 (similar)
“Vector Quantized Diffusion Model for Text-to-Image Synthesis”, Et Al 2021
“Vector Quantized Diffusion Model for Text-to-Image Synthesis”, 2021-11-29 (; similar)
“Blended Diffusion for Text-driven Editing of Natural Images”, Et Al 2021
“Blended Diffusion for Text-driven Editing of Natural Images”, 2021-11-29 (; similar)
“Classifier-Free Diffusion Guidance”, 2021
“Classifier-Free Diffusion Guidance”, 2021-11-27 (similar)
“Unleashing Transformers: Parallel Token Prediction With Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes”, Bond- Et Al 2021
“Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes”, 2021-11-24 (similar)
“Restormer: Efficient Transformer for High-Resolution Image Restoration”, Et Al 2021
“Restormer: Efficient Transformer for High-Resolution Image Restoration”, 2021-11-18 (; similar)
“Tackling the Generative Learning Trilemma With Denoising Diffusion GANs”, Et Al 2021
“Tackling the Generative Learning Trilemma with Denoising Diffusion GANs”, 2021-11-12 (; similar)
“Diffusion Normalizing Flow”, 2021
“Diffusion Normalizing Flow”, 2021-10-14 (similar)
“Palette: Image-to-Image Diffusion Models”, Et Al 2021
“Palette: Image-to-Image Diffusion Models”, 2021-10-06 (; similar)
“Unconditional Diffusion Guidance”, 2021
“Unconditional Diffusion Guidance”, 2021-10-05 (similar)
“DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models”, 2021
“DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models”, 2021-10-05 (; similar)
“Progressive Distillation for Fast Sampling of Diffusion Models”, 2021
“Progressive Distillation for Fast Sampling of Diffusion Models”, 2021-10-05 (; similar)
“Generative Probabilistic Image Colorization”, Et Al 2021
“Generative Probabilistic Image Colorization”, 2021-09-29 (; similar)
“Bilateral Denoising Diffusion Models”, Et Al 2021
“Bilateral Denoising Diffusion Models”, 2021-08-26 (similar)
“ImageBART: Bidirectional Context With Multinomial Diffusion for Autoregressive Image Synthesis”, Et Al 2021
“ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis”, 2021-08-19 (; similar)
“Variational Diffusion Models”, Et Al 2021
“Variational Diffusion Models”, 2021-07-01 (similar)
“LoRA: Low-Rank Adaptation of Large Language Models”, Et Al 2021
“LoRA: Low-Rank Adaptation of Large Language Models”, 2021-06-17 (; similar; bibliography)
“PriorGrad: Improving Conditional Denoising Diffusion Models With Data-Dependent Adaptive Prior”, Et Al 2021
“PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior”, 2021-06-11 (; similar)
“Score-based Generative Modeling in Latent Space”, Et Al 2021
“Score-based Generative Modeling in Latent Space”, 2021-06-10 (; similar)
“CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Et Al 2021
“CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, 2021-06-09 (; similar; bibliography)
“Learning to Efficiently Sample from Diffusion Probabilistic Models”, Et Al 2021
“Learning to Efficiently Sample from Diffusion Probabilistic Models”, 2021-06-07 (similar)
“Gotta Go Fast When Generating Data With Score-Based Models”, Jolicoeur- Et Al 2021
“Gotta Go Fast When Generating Data with Score-Based Models”, 2021-05-28 (similar)
“Diffusion Models Beat GANs on Image Synthesis”, 2021
“Diffusion Models Beat GANs on Image Synthesis”, 2021-05-11 (; similar; bibliography)
“DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism”, Et Al 2021
“DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism”, 2021-05-06 (; similar)
“Image Super-Resolution via Iterative Refinement”, Et Al 2021
“Image Super-Resolution via Iterative Refinement”, 2021-04-15 (; similar; bibliography)
“Learning Energy-Based Models by Diffusion Recovery Likelihood”, Et Al 2021
“Learning Energy-Based Models by Diffusion Recovery Likelihood”, 2021-03-18 (similar)
“Improved Denoising Diffusion Probabilistic Models”, 2021
“Improved Denoising Diffusion Probabilistic Models”, 2021-02-18 (; similar; bibliography)
“Denoising Diffusion Implicit Models”, Et Al 2021
“Denoising Diffusion Implicit Models”, 2021-01-25 (; similar)
“Maximum Likelihood Training of Score-Based Diffusion Models”, Et Al 2021
“Maximum Likelihood Training of Score-Based Diffusion Models”, 2021-01-22 (similar)
“Score-Based Generative Modeling through Stochastic Differential Equations”, Et Al 2020
“Score-Based Generative Modeling through Stochastic Differential Equations”, 2020-11-26 (similar)
“Denoising Diffusion Probabilistic Models”, Et Al 2020
“Denoising Diffusion Probabilistic Models”, 2020-06-19 (; backlinks; similar)
“Improving Sampling from Generative Autoencoders With Markov Chains”, Et Al 2016
“Improving Sampling from Generative Autoencoders with Markov Chains”, 2016-10-28 (; similar)
“Deep Unsupervised Learning Using Nonequilibrium Thermodynamics”, Sohl- Et Al 2015
“Deep Unsupervised Learning using Nonequilibrium Thermodynamics”, 2015-03-12 (backlinks; similar)
“A Connection Between Score Matching and Denoising Autoencoders”, 2011
“A Connection Between Score Matching and Denoising Autoencoders”, 2011-07-01 (; similar; bibliography)
“Optimal Approximation of Signal Priors”, 2008
“Optimal approximation of signal priors”, 2008-12-01 (; backlinks; similar)
“Estimation of Non-Normalized Statistical Models by Score Matching”, 2005
“Estimation of Non-Normalized Statistical Models by Score Matching”, 2005-04 (; backlinks; similar; bibliography)
“Generative Modeling by Estimating Gradients of the Data Distribution”
Wikipedia
Miscellaneous
-
“
/idea”, (backlinks; bibliography) -
https://bonfx.com/how-to-use-dreamstudio-stablediffusion-to-create-a-traditional-illustration/ -
https://colab.research.google.com/drive/1dlgggNa5Mz8sEAGU0wFCHhGLFooW_pf1 -
https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/4 -
https://docs.google.com/spreadsheets/d/14xTqtuV3BuKDNhLotB_d1aFlBGnDJOY0BRXJ8-86GpA/edit -
https://drive.google.com/drive/folders/1wXvivH2azyK0J-5kjxiq5_4BlMw0ztmx -
https://github.com/marqo-ai/marqo/blob/mainline/examples/StableDiffusion/hot-dog-100k.md -
https://github.com/openai/guided-diffusion#download-pre-trained-models -
https://keras.io/examples/generative/random_walks_with_stable_diffusion/ -
https://lambdalabs.com/blog/inference-benchmark-stable-diffusion -
https://nitter.moomoo.me/Buntworthy/status/1572214507468099586 -
https://nitter.moomoo.me/SimonGColton/status/1578162486712287233 -
https://nitter.moomoo.me/emollick/status/1621599523733925888 -
https://nitter.moomoo.me/jasonbaldridge/status/1588017062802329604 -
https://nitter.moomoo.me/pharmapsychotic/status/1577465085575909376 -
https://nitter.moomoo.me/tristwolff/status/1636188634012438530 -
https://nostalgebraist.tumblr.com/post/672300992964050944/franks-image-generation-model-explained -
https://old.reddit.com/r/StableDiffusion/comments/11f4zgt/remixing_memes_with_multi_controlnet_is/ -
https://old.reddit.com/r/sdnsfw/comments/ylo4eh/huge_list_of_sexy_tested_photorealism_keywords/
Link Bibliography
-
https://arxiv.org/abs/2302.01329#google: “Dreamix: Video Diffusion Models Are General Video Editors”, : -
https://raw.githubusercontent.com/flavioschneider/master-thesis/main/audio_diffusion_thesis.pdf: “Archisound: Audio Generation With Diffusion”, Flavio Schneider: -
https://arxiv.org/abs/2212.08751#openai: “Point·E: A System for Generating 3D Point Clouds from Complex Prompts”, Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen: -
https://arxiv.org/abs/2211.09800: “InstructPix2Pix: Learning to Follow Image Editing Instructions”, Tim Brooks, Aleksander Holynski, Alexei A. Efros: -
https://arxiv.org/abs/2211.09788: “DiffusionDet: Diffusion Model for Object Detection”, Shoufa Chen, Peize Sun, Yibing Song, Ping Luo: -
https://arxiv.org/abs/2211.01324#nvidia: “EDiff-I: Text-to-Image Diffusion Models With an Ensemble of Expert Denoisers”, : -
https://arxiv.org/abs/2210.07508#sony: “Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, Naoya Takahashi, Mayank Kumar, Singh, Yuki Mitsufuji: -
https://arxiv.org/abs/2210.03142#google: “On Distillation of Guided Diffusion Models”, Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans: -
https://arxiv.org/abs/2208.12242#google: “DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation”, Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman: -
https://arxiv.org/abs/2208.01618: “An Image Is Worth One Word: Personalizing Text-to-Image Generation Using Textual Inversion”, Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or: -
https://arxiv.org/abs/2207.09814#microsoft: “NUWA-∞: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis”, Chenfei Wu, Jian Liang, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan: -
https://arxiv.org/abs/2205.16007#microsoft: “Improved Vector Quantized Diffusion Models”, Zhicong Tang, Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen: -
https://arxiv.org/abs/2205.11487#google: “Imagen: Photorealistic Text-to-Image Diffusion Models With Deep Language Understanding”, : -
https://arxiv.org/abs/2205.07460: “Diffusion Models for Adversarial Purification”, Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar: -
https://arxiv.org/abs/2112.10752: “High-Resolution Image Synthesis With Latent Diffusion Models”, Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer: -
https://arxiv.org/abs/2112.05744: “More Control for Free! Image Synthesis With Semantic Diffusion Guidance”, : -
https://arxiv.org/abs/2106.09685: “LoRA: Low-Rank Adaptation of Large Language Models”, Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen: -
https://cascaded-diffusion.github.io/: “CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans: -
https://arxiv.org/abs/2105.05233#openai: “Diffusion Models Beat GANs on Image Synthesis”, Prafulla Dhariwal, Alex Nichol: -
https://arxiv.org/abs/2104.07636#google: “Image Super-Resolution via Iterative Refinement”, Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi: -
https://arxiv.org/abs/2102.09672#openai: “Improved Denoising Diffusion Probabilistic Models”, Alex Nichol, Prafulla Dhariwal: -
2018-sharma.pdf#google: “Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning”, Piyush Sharma, Nan Ding, Sebastian Goodman, Radu Soricut: -
2011-vincent.pdf: “A Connection Between Score Matching and Denoising Autoencoders”, Pascal Vincent: -
https://www.jmlr.org/papers/volume6/hyvarinen05a/hyvarinen05a.pdf: “Estimation of Non-Normalized Statistical Models by Score Matching”, Aapo Hyvärinen: