Trending repositories for topic generative-adversarial-network
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Bringing Old Photo Back to Life (CVPR 2020 oral)
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
List of FOSS Deep Learning Applications with GUI and/or CLI
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
List of FOSS Deep Learning Applications with GUI and/or CLI
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
A large-scale face dataset for face parsing, recognition, generation and editing.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
Synthetic data generators for tabular and time-series data
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Bringing Old Photo Back to Life (CVPR 2020 oral)
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
List of FOSS Deep Learning Applications with GUI and/or CLI
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
List of FOSS Deep Learning Applications with GUI and/or CLI
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
A large-scale face dataset for face parsing, recognition, generation and editing.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
Synthetic data generators for tabular and time-series data
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Bringing Old Photo Back to Life (CVPR 2020 oral)
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generati...
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
[ECCV 2024] Official implementation of "Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization"
[Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing
[CVPR 2024] On the Content Bias in Fréchet Video Distance
A Pytorch implementation of Generative Adversarial Network for Heuristics of Sampling-based Path Planning
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/...
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
List of FOSS Deep Learning Applications with GUI and/or CLI
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
A PyTorch reimplementation of the paper Free-Form Image Inpainting with Gated Convolution (DeepFill v2) (https://arxiv.org/abs/1806.03589)
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
Creating Anime Faces using Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN, StyleGAN, StyleGAN2 and StyleGAN3. Top repos on GitHub for AnimeFace GAN Generative AI Models
Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Conditions on Digital Images. It uses a modified CycleGAN model to s...
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.
[ECCV 2024] Official implementation of "Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization"
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Bringing Old Photo Back to Life (CVPR 2020 oral)
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generati...
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Collection of google colaboratory notebooks for fast and easy experiments
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
[CVPR 2024] On the Content Bias in Fréchet Video Distance
Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution...
Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Official Pytorch implementation of "Reference Guided Image Inpainting using Facial Attributes", BMVC 2021
This repository exploits a finely tuned Stable Diffusion model and the robust DreamBooth framework to generate distinctive and personalizable avatars.
[Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing
This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/...
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
List of FOSS Deep Learning Applications with GUI and/or CLI
A Pytorch implementation of Generative Adversarial Network for Heuristics of Sampling-based Path Planning