Awesome Visual Tokenizers/Autoencoders

[IEEE TPAMI 2026] Simulating the Real World: Survey & Resources, which contains our survey "Simulating the Real World: A Unified Survey of Multimodal Generative Models" (IEEE TPAMI, 2026) and Aweso…

[CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation

Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.

Cosmos-Predict2 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.

[ICLR’26] Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control

Cosmos-Predict1 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.

Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

[ICLR'25] 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation

[ICLR 2025] EdgeRunner: Auto-regressive Auto-encoder for Efficient Mesh Generation

[ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding

A Video Tokenizer Evaluation Dataset

A suite of image and video neural tokenizers

TC4D: Trajectory-Conditioned Text-to-4D Generation

[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"

[ICCV 2023] The official implementation of paper "HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation"

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling

[CVPR 2024 Highlight] Code for "HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting"

[ICLR 2024] Github Repo for "HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion"

[CVPR'2023] Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

The repository for paper Unsupervised Volumetric Animation

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"

Official implementation of Cold-Diffusion for different transformations in pytorch.

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

[CVPR 2022] Code for "Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation"

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804