640 Open source projects that are alternatives of or similar to 3d Recgan

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Image-to-Image Translation in PyTorch

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Toward Multimodal Image-to-Image Translation

Synthetic Data Generation for tabular, relational and time series data.

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

🤖A list of resources to help anyone getting started with GANs 🤖

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Generate Cartoon Images using Generative Adversarial Network

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

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

my own deep learning mastery roadmap

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Bringing Old Photo Back to Life (CVPR 2020 oral)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

A sketch extractor for anime/illustration.

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

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Code for GAN2Shape (ICLR2021 oral)

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Using Machine Learning to predict the type of exercise from movement data

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

real-time 3D reconstruction of non-rigidly deforming scenes using depth data

Projecting images to latent space with StyleGAN2.

A very simple generative adversarial network (GAN) in PyTorch

Reconstruction of three-dimensional porous media using generative adversarial neural networks

A Pytorch implementation of Stylegan2 with UNet Discriminator

Privacy-preserving generative deep neural networks support clinical data sharing

SpecGAN - generate audio with adversarial training

Pytorch implementation of MirrorGAN

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

🔥PCL（Point Cloud Library）点云库学习记录

3D human face estimation and rendering from a single image

Disentangled Makeup Transfer with Generative Adversarial Network

A list of resources about deep learning solutions on 3D shape processing

Implicit Geometric Regularization for Learning Shapes

Bundler Structure from Motion Toolkit

Tensorflow re-implementation of GAN for text summarization

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"