Repo for SeedVR2 & SeedVR (CVPR2025 Highlight)

[ARXIV’25] Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control

An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

Code for: "Long-Context Autoregressive Video Modeling with Next-Frame Prediction"

PyTorch implementation of DiffMoE, TC-DiT, EC-DiT and Dense DiT

[ICCV'25 Oral] ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

MoBA: Mixture of Block Attention for Long-Context LLMs

Improving Video Generation with Human Feedback

[ICCV 2025] GameFactory: Creating New Games with Generative Interactive Videos

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

[ICLR'25] SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints

[CVPR'25] StyleMaster: Stylize Your Video with Artistic Generation and Translation

Official implementation of the paper "Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content".

Excalidraw app for mac. Powered by pure SwiftUI.

Let your Claude able to think

Deep Reinforcement Learning

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Next-Token Prediction is All You Need

Kolors Team

Bring portraits to life!

SEED-Voken: A Series of Powerful Visual Tokenizers

A PyTorch native platform for training generative AI models

Official repo for paper "MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions"

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

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

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[CVPR 2024] Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers