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cs.CV2026

LiveEdit: Towards Real-Time Diffusion-Based Streaming Video Editing

Xinyu Wang, Chongbo Zhao, Fangneng Zhan +1

Streaming video editing has made rapid progress, yet practical deployment is still limited by two core issues: maintaining stable backgrounds and non-edited regions over time, and…

cs.CV2026

EasyVFX: Frequency-Driven Decoupling for Resource-Efficient VFX Generation

Yue Ma, Xu Ye, Qinghe Wang +9

Generating high-fidelity visual effects (VFX) typically demands massive datasets and prohibitive computational power due to the intricate coupling of spatial textures and temporal…

cs.CV2026

Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion

Peiliang Cai, Evelyn Zhang, Jiacheng Liu +8

Recent advances in autoregressive video diffusion have enabled sequential and streaming video generation. However, long-horizon generation requires increasingly large KV caches, ma…

cs.CV2025

DiTraj: training-free trajectory control for video diffusion transformer

Cheng Lei, Jiayu Zhang, Yue Ma +6

Diffusion Transformers (DiT)-based video generation models with 3D full attention exhibit strong generative capabilities. Trajectory control represents a user-friendly task in the…

cs.CV2025

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Shikang Zheng, Liang Feng, Xinyu Wang +8

Diffusion Transformers (DiTs) have demonstrated exceptional performance in high-fidelity image and video generation. To reduce their substantial computational costs, feature cachin…

cs.CV2025

HERO: Hierarchical Extrapolation and Refresh for Efficient World Models

Quanjian Song, Xinyu Wang, Donghao Zhou +3

Generation-driven world models create immersive virtual environments but suffer slow inference due to the iterative nature of diffusion models. While recent advances have improved…