Matrix-Game-3.0 is an open-source interactive world model that generates real-time video at 720p resolution and 40 frames per second. It uses a memory-augmented architecture to maintain consistency over long video […]
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daVinci-MagiHuman is an open-source audio-video generation model that creates synchronized video and audio content from text prompts. The model uses a single-stream Transformer architecture to process text, video, and audio […]
SAMA-14B is a new open-source AI model designed for instruction-guided video editing. It allows users to modify videos using text instructions while keeping the original motion and temporal details intact. […]
SANA-Video is a new diffusion model designed to create high-quality videos from text prompts. It can generate content up to 2K resolution with minute-long duration while maintaining strong alignment between […]
Omni-Video 2 is a unified video editing and generation framework that combines a text-to-video diffusion model with vision-language understanding. The system can generate videos from text descriptions and edit existing […]
OpenMOSS released MOVA on January 29, 2026, introducing an open-source foundation model designed to generate synchronized video and audio content simultaneously. The system employs a Mixture-of-Experts (MoE) architecture with 32 […]
# DC-VideoGen: Revolutionizing Video Generation Efficiency Breakthrough in Video AI Performance MIT Han Lab has introduced DC-VideoGen, a groundbreaking post-training framework designed to dramatically accelerate video diffusion models. The project […]
LongLive is a framework from NVlabs that generates long videos in real time with interactive prompting. The system produces videos up to 240 seconds while maintaining visual consistency across frames. […]