Taming Transformers for High-Resolution Image Synthesis

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

Ongoing research training transformer models at scale

[CVPR 2023] Query-Centric Trajectory Prediction

Hybrid A* Path Planner for the KTH Research Concept Vehicle

Autoware - the world's leading open-source software project for autonomous driving

papers about Face Reenactment/Talking Face Generation

Collection of awesome resources on image-to-image translation.

Image-to-Image Translation in PyTorch

Official PyTorch Implementation for InfoSwap

Dynamic Neural Radiance Fields for Monocular 4D Facial Avater Reconstruction

NVIDIA's Deep Imagination Team's PyTorch Library

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

[ICLR 22, TPAMI 24] LIA: Latent Image Animator

Code for Motion Representations for Articulated Animation paper

Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.

[ICCV 2021] Repository for LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions

This repository contains the source code for the paper First Order Motion Model for Image Animation

Official repository for CVPR 2022 paper: I M Avatar: Implicit Morphable Head Avatars from Videos

Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433