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20242026
most citedTimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision

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cs.CV2026

Beyond Text Conditioning: A Systematic Study of MLLM-DiT Fusion for Video Generation

Yanbo Ding, Yijia Fan, Caihua Shan +8

Diffusion Transformers (DiTs) have become the dominant paradigm for high-fidelity video generation, yet their ability to perform high-level semantic planning remains limited. While…

cs.CV2026

Ripple: Real-Time Streaming Audio-Video Generation With Cross-Modal Recurrent Memory

Yanbo Ding, Zhizhi Guo, Quanyue Song +4

Audio-video generative models achieve impressive quality but suffer from high latency, making them unsuitable for real-time applications. Although several streaming audio-video gen…

cs.CV2026

OmniMate: Open-Ended Real-Time Streaming Audio-Visual Generation for Interactive Avatars

Quanyue Song, Yishan He, Yanbo Ding +4

Recent advances in diffusion-based generative models have enabled real-time audio-driven avatar generation and unified audio-visual synthesis, providing a promising foundation for…

cs.CV2026

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation

Weijie Wang, Xiaoxuan He, Youping Gu +9

Recent video foundation models demonstrate impressive visual synthesis but frequently suffer from geometric inconsistencies. While existing methods attempt to inject 3D priors via…

cs.CV2026

MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation

Xirui Hu, Yanbo Ding, Jiahao Wang +4

Character image animation, which synthesizes videos of reference characters driven by pose sequences, has advanced rapidly but remains largely limited to single-human settings. Exi…