Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

Official code release of "CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition"

SkyReels V1: The first and most advanced open-source human-centric video foundation model

Motion-Controllable Video Diffusion via Warped Noise

Simple Controlnet module for CogvideoX model.

"VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos"

VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.

Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

A Simple Framework of Small-scale Large Multimodal Models for Video Understanding Based on TinyLLaVA_Factory.

[ECCV 2024] DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting

[ICLR 2025] Official implementation of MotionClone: Training-Free Motion Cloning for Controllable Video Generation

A Simple yet Effective Pathway to Empowering LLaVA to Understand and Interact with 3D World

[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

Investigating CoT Reasoning in Autoregressive Image Generation

Frontier Multimodal Foundation Models for Image and Video Understanding

VideoWorld is a simple generative model that learns purely from unlabeled videos—much like how babies learn by observing their environment

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

[arXiv'24] [Image-to-Scene on a 4090(24G)] VistaDream: Sampling multiview consistent images for single-view scene reconstruction

The official implementation of ”RepVideo: Rethinking Cross-Layer Representation for Video Generation“

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Aligning pretrained language models with instruction data generated by themselves.

The code for the paper C3: Zero-shot Text-to-SQL with ChatGPT

The official repository for "2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining"

[ARXIV'25] GameFactory: Creating New Games with Generative Interactive Videos

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