dmarx
Follow
ML Research
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Neural Scene Flow Prior (NeurIPS 2021 spotlight)
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
Natural Gradient Boosting for Probabilistic Prediction
Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)
[NeurIPS'21] Projected GANs Converge Faster
[NeurIPS 2020] Causal Discovery in Physical Systems from Videos
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
This is an official implementation for "Video Swin Transformers".
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Codebase for Learning Invariances in Neural Networks
High performance model preprocessing library on PyTorch
Official PyTorch repo for StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN.
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
Official implementation of Adabins: Depth Estimation using adaptive bins
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.