“‘StyleGAN’ Tag”,2019-09-13 ():
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Bibliography for tag
ai/nn/gan/stylegan, most recent first: 5 related tags, 142 annotations, & 50 links (parent).
- See Also
- Links
- “Machine Learning As a Tool for Hypothesis Generation”, 2024
- “The Spontaneous Emergence of ‘A Sense of Beauty’ in Untrained Deep Neural Networks”, et al 2024
- “Generative Models: What Do They Know? Do They Know Things? Let’s Find Out!”, et al 2023
- “Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models”, et al 2023
- “Rosetta Neurons: Mining the Common Units in a Model Zoo”, et al 2023
- “Exposing Flaws of Generative Model Evaluation Metrics and Their Unfair Treatment of Diffusion Models”, et al 2023
- “Drag Your GAN (DragGAN): Interactive Point-Based Manipulation on the Generative Image Manifold”, et al 2023
- “Realistic Face Reconstruction from Deep Embeddings”, 2023
- “SAN: Inducing Metrizability of GAN With Discriminative Normalized Linear Layer”, et al 2023
- “StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-To-Image Synthesis”, et al 2023
- “Brain2GAN: Reconstructing Perceived Faces from the Primate Brain via StyleGAN3”, 2022
- “Fast Text2StyleGAN: Text-Free Learning of a Natural Language Interface for Pretrained Face Generators”, et al 2022
- “User-Controllable Latent Transformer for StyleGAN Image Layout Editing”, 2022
- “Generator Knows What Discriminator Should Learn in Unconditional GANs”, et al 2022
- “CelebV-HQ: A Large-Scale Video Facial Attributes Dataset”, et al 2022
- “InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images”, et al 2022
- “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, et al 2022
- “Diffusion-GAN: Training GANs With Diffusion”, et al 2022
- “StyleGAN-Human: A Data-Centric Odyssey of Human Generation”, et al 2022
- “Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values”, et al 2022
- “State-Of-The-Art in the Architecture, Methods and Applications of StyleGAN”, et al 2022
- “AI-Synthesized Faces Are Indistinguishable from Real Faces and More Trustworthy”, 2022
- “StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets”, et al 2022
- “StyleGAN-V: A Continuous Video Generator With the Price, Image Quality and Perks of StyleGAN-2”, et al 2021
- “Efficient Geometry-Aware 3D Generative Adversarial Networks”, et al 2021
- “CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions”, et al 2021
- “HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing”, et al 2021
- “LAFITE: Towards Language-Free Training for Text-To-Image Generation”, et al 2021
- “Improving Visual Quality of Image Synthesis by A Token-Based Generator With Transformers”, et al 2021
- “StyleCLIPDraw: Coupling Content and Style in Text-To-Drawing Synthesis”, et al 2021
- “StyleAlign: Analysis and Applications of Aligned StyleGAN Models”, et al 2021
- “Pose With Style: Detail-Preserving Pose-Guided Image Synthesis With Conditional StyleGAN”, et al 2021
- “Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, 2021
- “LARGE: Latent-Based Regression through GAN Semantics”, et al 2021
- “Alias-Free Generative Adversarial Networks”, et al 2021
- “Lazy, a Tool for Running Things in Idle Time”, nshepperd 2021
- “Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing”, et al 2021
- “Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace”, et al 2021
- “DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort”, et al 2021
- “Labels4Free: Unsupervised Segmentation Using StyleGAN”, et al 2021
- “Repurposing GANs for One-Shot Semantic Part Segmentation”, et al 2021
- “Generative Adversarial Transformers”, 2021
- “Generating Images from Caption and vice Versa via CLIP-Guided Generative Latent Space Search”, et al 2021
- “Not-So-BigGAN: Generating High-Fidelity Images on Small Compute With Wavelet-Based Super-Resolution”, et al 2020
- “Rewriting a Deep Generative Model”, et al 2020
- “Differentiable Augmentation for Data-Efficient GAN Training”, et al 2020
- “StyleGAN-2-ADA: Training Generative Adversarial Networks With Limited Data”, et al 2020
- “On Data Augmentation for GAN Training”, et al 2020
- “Image Augmentations for GAN Training”, et al 2020
- “Ambigrammatic Figures: 55 Grotesque Ambigrams”, 2020
- “Practical Aspects of StyleGAN-2 Training”, l4rz 2020
- “GANSpace: Discovering Interpretable GAN Controls”, et al 2020
- “Evolving Normalization-Activation Layers”, et al 2020
- “Top-K Training of GANs: Improving GAN Performance by Throwing Away Bad Samples”, et al 2020
- “Unsupervised Discovery of Interpretable Directions in the GAN Latent Space”, 2020
- “Conditional Image Generation and Manipulation for User-Specified Content § Pg3”, 2020 (page 3)
- “Analyzing and Improving the Image Quality of StyleGAN”, et al 2019
- “Detecting GAN Generated Errors”, et al 2019
- “Seeing What a GAN Cannot Generate”, et al 2019
- “Stabilizing Generative Adversarial Networks: A Survey”, et al 2019
- “Interpreting the Latent Space of GANs for Semantic Face Editing”, et al 2019
- “On the “Steerability” of Generative Adversarial Networks”, et al 2019
- “Style Generator Inversion for Image Enhancement and Animation”, 2019
- “NoGAN: Decrappification, DeOldification, and Super Resolution”, et al 2019
- “Improved Precision and Recall Metric for Assessing Generative Models”, et al 2019
- “Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, et al 2019
- “The Machine As Author”, 2019
- “MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks”, 2019
- “This Person Does Not Exist”, 2019
- “FIGR: Few-Shot Image Generation With Reptile”, 2019
- “A Style-Based Generator Architecture for Generative Adversarial Networks”, et al 2018
- “GAN Dissection: Visualizing and Understanding Generative Adversarial Networks”, et al 2018
- “Discriminator Rejection Sampling”, et al 2018
- “On Self Modulation for Generative Adversarial Networks”, et al 2018
- “Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow”, et al 2018
- “Inverting The Generator Of A Generative Adversarial Network (II)”, 2018
- “Megapixel Size Image Creation Using Generative Adversarial Networks”, 2017
- “AdaIN: Arbitrary Style Transfer in Real-Time With Adaptive Instance Normalization”, 2017
- “StackGAN: Text to Photo-Realistic Image Synthesis With Stacked Generative Adversarial Networks”, et al 2016
- “Ukiyo-E Search”, 2013
- “Deep Danbooru”
- “GAN Dissection: Visualizing and Understanding Generative Adversarial Networks [Blog]”
- “WatchGAN: Advancing Generated Watch Images With StyleGANs”
- “Generating New Watch Designs With StyleGAN”
- “StyleGAN—Official TensorFlow Implementation”
- “EndingCredits/Set-CGAN: Adaptation of Conventional GAN to Condition on Additional Input Set”
- “
convert_weight.pyat Tadne”- “Joeyballentine/ESRGAN: A Modified Version of the Original ESRGAN Test.py Script With Added Features”
- “StyleGAN—Official TensorFlow Implementation”
- “
generate_figures.pyat Master · NVlabs/stylegan”- “
stylegan/pretrained_example.pyat Master”- “
stylegan/train.pyat Master · NVlabs”- “
stylegan/train.pyat Master”- “
stylegan/train.pyat Master”- “
stylegan/training/training_loop.py”- “
stylegan/training/training_loop.py”- “StyleGAN-2—Official TensorFlow Implementation”
- “StyleGAN-2-ADA—Official PyTorch Implementation”
- “Official PyTorch Implementation of StyleGAN3”
- “StyleGAN Encoder—Converts Real Images to Latent Space”
- “Styleganportraits.ipynb at Master”
- “Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch”
- “Preprocess Danbooru Vectors—StyleGAN Conditional”
- “Style Generator Inversion for Image Enhancement and Animation”
- “Aydao/stylegan2-Surgery”
- “Conditional Implementation for NVIDIA’s StyleGAN Architecture”
- “ArtGAN/WikiArt Dataset”
- “StyleGAN—Official TensorFlow Implementation”
- “Stylegan-Generate-Encode.ipynb at Master”
- “StyleGAN Made With Keras”
- “Interpretation of Discriminator Loss”
- “GAN’s N’ Roses. Diverse Im2im and Vid2vid Selfie to Anime Translation.”
- “StyleGAN-2—Official TensorFlow Implementation”
- “Reimplementation of Https://arxiv.org/abs/1812212ya.04948”
- “StyleGAN Encoder—Converts Real Images to Latent Space”
- “Unofficial Implementation of StyleGAN’s Generator”
- “StyleGAN-2—Official TensorFlow Implementation”
- “T04glovern/stylegan-Pokemon: Generating Pokemon Cards Using a Mixture of StyleGAN and RNN to Create Beautiful & Vibrant Cards Ready for Battle!”
- “Hayasaka.ai/StyleGAN-2_Tazik_25GB_RAM.ipynb”
- “IllustrationGAN: A Simple, Clean TensorFlow Implementation of Generative Adversarial Networks With a Focus on Modeling Illustrations.”
- “Semantic Image Editing in Realtime With a Multi-Parameter Interface for StyleCLIP Global Directions”
- “Progressive Growing of GANs for Improved Quality, Stability, and Variation”
- “Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution”
- “Styleganime2/misc/ranker.py at Master · Xunings/styleganime2”
- “This President Does Not Exist: Generating Artistic Portraits of Donald Trump Using StyleGAN Transfer Learning: Theory and Implementation in Tensorflow”
- “Pretrained Anime StyleGAN-2: Convert to Pytorch and Editing Images by Encoder by Allen Ng Pickupp”
- “Network-Snapshot-057891.pkl”
- “Nvidia Source Code License”
- “TensorFlow Research Cloud (TRC): Accelerate Your Cutting-Edge Machine Learning Research With Free Cloud TPUs”, TRC 2024
- “Video Shows off Hundreds of Beautiful AI-Created Anime Girls in Less Than a Minute”
- “StyleGAN for Evil: Trypophobia and Clockwork Oranging”
- “This Anime Does Not Exist”
- “Waifu Synthesis: Real Time Generative Anime”
- “How I Learned to Stop Worrying and Love Transfer Learning”
- “Stylegan Neural Ahegao”
- “Removing Blob Artifact from StyleGAN Generations without Retraining. Inspired by StyleGAN-2”
- “I Trained a StyleGAN on Images of Butterflies from the Natural History Museum in London.”
- “A Style-Based Generator Architecture for Generative Adversarial Networks [Video]”
- “Random Walk StyleGAN”
- Buntworthy
- TacoCohen
- “StyleGAN Samples”
- Sort By Magic
- Miscellaneous
- Bibliography