640 Open source projects that are alternatives of or similar to ST-CGAN

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Synthesizing and manipulating 2048x1024 images with conditional GANs

A clean and readable Pytorch implementation of CycleGAN

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

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Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue and Yamasaki, IEEE TCSVT 2021].

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Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Image-to-image translation with conditional adversarial nets

Image-to-Image Translation in PyTorch

Implementation of Conditional Generative Adversarial Networks in PyTorch

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Generative Adversarial Networks in TensorFlow 2.0

👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.

Tensorflow implementation of paper "unsupervised image to image translation networks"

Repository for MAD-GAN Paper done in ML CAMP Jeju

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

No description or website provided.

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

minimal but extensible header only implementation of photon mapping in C++

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

This is a fun project I created to motivate computer vision enthusiasts and to highlight the importance of understanding fundamental concepts related to image formation in a camera.

code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

No description or website provided.

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Paper notes in deep learning/machine learning and computer vision

PyTorch study

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

🐳 GAN implemented as Tensorflow 2.X

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

A sketch extractor for anime/illustration.

A realistic Monte Carlo Path Tracer project for CS230 (Virtual Reality and Interactive 3D Graphics Display), ACM Class, SJTU

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Improving MMD-GAN training with repulsive loss function

a low level, cross-platform command line client for Yeelight

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Low level MacOS management in JavaScript via BetterTouchTool

Repo for "On Learning Symmetric Locomotion"

Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks

Low-level utilities and tools for working with the CLR and memory.

Escaping Plato’s Cave: 3D Shape from Adversarial Rendering [ICCV 2019]

Generate image from text with Generative Adversarial Network

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

🔬 Scientific computing library for optics 🔭, computer graphics 💻 and visual perception 👀

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

3D-aware GANs based on NeRF (arXiv).

🍭 Physically plausible interactive 3D mesh deformation based on as rigid as possible constraints.

👾 An app created to explorer the features of SceneKit iOS framework. Assets load (Model I/O), interaction, animation, classical rendering (Blinn-Phong), physically based rendering.