Video

Netflix recently released Void-model, an open framework that removes video subjects while reconstructing the physical interactions they caused. Standard editors only fill background pixels, but this tool calculates how nearby […]

LumosX is a new framework for generating personalized videos with multiple subjects. It creates videos where specific people and objects stay consistent throughout, keeping the right attributes matched to the […]

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 […]

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 […]