Trending repositories for topic generative-adversarial-network
Bringing Old Photo Back to Life (CVPR 2020 oral)
🦙 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
Collection of google colaboratory notebooks for fast and easy experiments
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.
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Collection of google colaboratory notebooks for fast and easy experiments
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
[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.
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Bringing Old Photo Back to Life (CVPR 2020 oral)
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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...
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Collection of google colaboratory notebooks for fast and easy experiments
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare ...
[CVPR 2024] On the Content Bias in Fréchet Video Distance
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
A PyTorch reimplementation of the paper Free-Form Image Inpainting with Gated Convolution (DeepFill v2) (https://arxiv.org/abs/1806.03589)
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
Pytorch implementation of common image generation metrics.
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Collection of google colaboratory notebooks for fast and easy experiments
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
🦙 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"
Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
[CVPR 2024] On the Content Bias in Fréchet Video Distance
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare ...
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...
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
[Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing
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...
A Pytorch implementation of Generative Adversarial Network for Heuristics of Sampling-based Path Planning
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.
Pytorch implementation of common image generation metrics.
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
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/...
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
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
[WACV 2024] "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer"
[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.
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare ...
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...
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
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.
Official Pytorch implementation of "Reference Guided Image Inpainting using Facial Attributes", BMVC 2021
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
This repository exploits a finely tuned Stable Diffusion model and the robust DreamBooth framework to generate distinctive and personalizable avatars.
Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"
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/...
List of FOSS Deep Learning Applications with GUI and/or CLI