Stars
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸
Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).
A simple cross attention that updates both the source and target in one step
FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds
Implemetation of ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
High-Resolution Image Synthesis with Latent Diffusion Models
This is the source code of paper MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression, which is received by ACM MM' 21.
Implementation of the Swin Transformer in PyTorch.
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”