eladrich/pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
Language: Jupyter Notebook
#generative_adversarial_network #image_translation #stylegan #stylegan_encoder
Stars: 82 Issues: 2 Forks: 4
https://github.com/eladrich/pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
Language: Jupyter Notebook
#generative_adversarial_network #image_translation #stylegan #stylegan_encoder
Stars: 82 Issues: 2 Forks: 4
https://github.com/eladrich/pixel2style2pixel
GitHub
GitHub - eladrich/pixel2style2pixel: Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"…
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework - eladrich/pixel2style2pixel
mit-han-lab/anycost-gan
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Language: Jupyter Notebook
#computer_graphics #computer_vision #deep_learning #gan #gans #generative_adversarial_network #image_editing #image_generation #image_manipulation #pytorch #stylegan2
Stars: 140 Issues: 0 Forks: 6
https://github.com/mit-han-lab/anycost-gan
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Language: Jupyter Notebook
#computer_graphics #computer_vision #deep_learning #gan #gans #generative_adversarial_network #image_editing #image_generation #image_manipulation #pytorch #stylegan2
Stars: 140 Issues: 0 Forks: 6
https://github.com/mit-han-lab/anycost-gan
GitHub
GitHub - mit-han-lab/anycost-gan: [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing - mit-han-lab/anycost-gan
GaParmar/clean-fid
FID calculation with proper image resizing and quantization steps
Language: Python
#computer_graphics #computer_vision #deep_learning #gan #generative_adversarial_network #image_generation #image_manipulation #pytorch
Stars: 123 Issues: 0 Forks: 5
https://github.com/GaParmar/clean-fid
FID calculation with proper image resizing and quantization steps
Language: Python
#computer_graphics #computer_vision #deep_learning #gan #generative_adversarial_network #image_generation #image_manipulation #pytorch
Stars: 123 Issues: 0 Forks: 5
https://github.com/GaParmar/clean-fid
GitHub
GitHub - GaParmar/clean-fid: PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022] - GaParmar/clean-fid
PeterouZh/CIPS-3D
3D-aware GANs based on NeRF (arXiv).
#generative_adversarial_network #nerf #pytorch
Stars: 169 Issues: 0 Forks: 3
https://github.com/PeterouZh/CIPS-3D
3D-aware GANs based on NeRF (arXiv).
#generative_adversarial_network #nerf #pytorch
Stars: 169 Issues: 0 Forks: 3
https://github.com/PeterouZh/CIPS-3D
GitHub
GitHub - PeterouZh/CIPS-3D: 3D-aware GANs based on NeRF (arXiv).
3D-aware GANs based on NeRF (arXiv). . Contribute to PeterouZh/CIPS-3D development by creating an account on GitHub.
EndlessSora/DeceiveD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
#few_shot #gan #generative_adversarial_network #generative_model #image_generation #image_synthesis #limited_data #neurips_2021 #stylegan2
Stars: 117 Issues: 0 Forks: 1
https://github.com/EndlessSora/DeceiveD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
#few_shot #gan #generative_adversarial_network #generative_model #image_generation #image_synthesis #limited_data #neurips_2021 #stylegan2
Stars: 117 Issues: 0 Forks: 1
https://github.com/EndlessSora/DeceiveD
GitHub
GitHub - EndlessSora/DeceiveD: [NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data - EndlessSora/DeceiveD
yuval-alaluf/stylegan3-editing
Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" https://arxiv.org/abs/2201.13433
#generative_adversarial_network #image_editing #stylegan #stylegan_encoder #stylegan3
Stars: 135 Issues: 0 Forks: 1
https://github.com/yuval-alaluf/stylegan3-editing
Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" https://arxiv.org/abs/2201.13433
#generative_adversarial_network #image_editing #stylegan #stylegan_encoder #stylegan3
Stars: 135 Issues: 0 Forks: 1
https://github.com/yuval-alaluf/stylegan3-editing
arXiv.org
Third Time's the Charm? Image and Video Editing with StyleGAN3
StyleGAN is arguably one of the most intriguing and well-studied generative models, demonstrating impressive performance in image generation, inversion, and manipulation. In this work, we explore...
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adobe-research/sam_inversion
[CVPR 2022] GAN inversion and editing with spatially-adaptive multiple latent layers
Language: Python
#computer_graphics #computer_vision #deep_learning #gan #generative_adversarial_network #image_manipulation #machine_learning #pytorch
Stars: 67 Issues: 0 Forks: 1
https://github.com/adobe-research/sam_inversion
[CVPR 2022] GAN inversion and editing with spatially-adaptive multiple latent layers
Language: Python
#computer_graphics #computer_vision #deep_learning #gan #generative_adversarial_network #image_manipulation #machine_learning #pytorch
Stars: 67 Issues: 0 Forks: 1
https://github.com/adobe-research/sam_inversion
GitHub
GitHub - adobe-research/sam_inversion: [CVPR 2022] GAN inversion and editing with spatially-adaptive multiple latent layers
[CVPR 2022] GAN inversion and editing with spatially-adaptive multiple latent layers - GitHub - adobe-research/sam_inversion: [CVPR 2022] GAN inversion and editing with spatially-adaptive multiple...
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apple/ml-gmpi
Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)
Language: Python
#3d #eccv2022 #generative_adversarial_network #generative_model #multiplane_images #neural_rendering #pytorch
Stars: 99 Issues: 0 Forks: 4
https://github.com/apple/ml-gmpi
Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)
Language: Python
#3d #eccv2022 #generative_adversarial_network #generative_model #multiplane_images #neural_rendering #pytorch
Stars: 99 Issues: 0 Forks: 4
https://github.com/apple/ml-gmpi
GitHub
GitHub - apple/ml-gmpi: [ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI
[ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI - GitHub - apple/ml-gmpi: [ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI
👍3🔥3
YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
#diffusion_models #generative_adversarial_network #generative_model #image_to_image_translation #stable_diffusion #survey #text_to_image #vae
Stars: 190 Issues: 0 Forks: 14
https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
#diffusion_models #generative_adversarial_network #generative_model #image_to_image_translation #stable_diffusion #survey #text_to_image #vae
Stars: 190 Issues: 0 Forks: 14
https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
GitHub
GitHub - YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy: Diffusion model papers, survey, and taxonomy
Diffusion model papers, survey, and taxonomy. Contribute to YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy development by creating an account on GitHub.
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lucidrains/gigagan-pytorch
Implementation of GigaGAN, new SOTA GAN out of Adobe
Language: Python
#artificial_intelligence #deep_learning #generative_adversarial_network
Stars: 410 Issues: 0 Forks: 12
https://github.com/lucidrains/gigagan-pytorch
Implementation of GigaGAN, new SOTA GAN out of Adobe
Language: Python
#artificial_intelligence #deep_learning #generative_adversarial_network
Stars: 410 Issues: 0 Forks: 12
https://github.com/lucidrains/gigagan-pytorch
GitHub
GitHub - lucidrains/gigagan-pytorch: Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research…
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs - lucidrains/gigagan-pytorch