Author

Ran Yi

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Preprint Oct 2026

MORCA: Offline-to-Online Reinforcement Learning for Adaptive Cache Reuse in Video Diffusion Acceleration

Diffusion Transformers (DiTs) achieve remarkable performance in video synthesis, but their iterative denoising process suffers from high inference latency. To address this, caching has emerged as an effective acceleration strategy by capitalizing on inter-step redundancy during denoising. Existing dynamic caching metho...

Yu-Xiang Xiong, Rui-Yan Wang, Wen-Qiang Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

DIET: Deletion-response Expert Trimming for Video Diffusion Transformers

Video diffusion transformers (DiTs) increasingly adopt mixture-of-experts (MoE) architectures to reduce active computation, but their full expert storage remains costly. Existing one-shot pruning criteria mainly rely on static activation or routing statistics and cannot capture layer-level re-routing after expert delet...

Jia-Chang Zhang, Teng Hu, Bo-Hao Feng et al. · 0 citations

Preprint Aug 2026

TRACE-Bench: Decomposing and Diagnosing Multi-Reference Image Generation

Recognizing that diverse multi-reference tasks share a common set of atomic operations, this work formalizes four operators: Anchor, Disentangle, Disentangle, Apply, and Compose, and constructs TRACE-Bench, comprising approximately 1,600 evaluation cases across slot counts 1--8.

Haoran Wang, Chaofan Ma, Ran Yi et al. · 0 citations

Preprint Aug 2026

Efficient Audio-Visual Generation via Synchrony-Aware Cross-Modal Sparse Attention

This work presents a synchronization-aware acceleration framework for efficient audio-visual generation by explicitly accounting for cross-modal dependence during acceleration, and improves inference efficiency while keeping video quality, audio quality, and audio-video synchronization.

Sheng-Chuan Gao, Teng Hu, Bo-Hao Feng et al. · 1 citation

Jul 2026

PhysAgent: Reflective Agentic Physics Control for Physically Plausible Video Generation

This paper proposes PhysAgent, a reflective agentic framework that closes the loop among physical program generation, physics simulation, stage-specific verification, and targeted program repair, and design a set of physics-control APIs to support more stable and complex motion behaviors.

Qirui Li, Jinkun Hao, Yibo Li et al. · arXiv.org · 1 citation

Preprint Jul 2026

Cycle-World: Mitigating Error Accumulation in Long-term Video World Models via Reverse-Prediction Cycle Consistency

This work proposes Cycle-World, a novel framework designed for stable and temporally consistent long-video generation that tackles error drift by enforcing strict temporal reversibility across both the training and inference phases, and demonstrates that forward generative drift can be strictly bottlenecked by a cycle-...

Zihan Su, Teng Hu, Jiangning Zhang et al. · 1 citation