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From the 1 of 15 linked papers with an AI index.

collaborators

15 papers

cs.CV2026

DUET: A Diversity-Quality Duet of Distillation Experts for Two-Step Video Generation

Zian Li, Litong Gong, Borui Liao +6

Diffusion models have enabled high-quality video generation in recent years, but the high cost of iterative sampling hinders their practical deployment. Few-step distillation allev…

cs.CV2026

LiveLight: Real-time Streaming Video Relighting with Interactive Control

Yue Ma, Jiangming Wang, Yucheng Wang +8

We present LiveLight, the first diffusion-based framework for real-time streaming video relighting with interactive 3D lighting control. Achieving this is non-trivial, as it requir…

cs.CV2026

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

Xinyu Wang, Chongbo Zhao, Fangneng Zhan +1

The paper introduces LiveEdit, a diffusion‑based streaming video editing system that edits videos frame‑by‑frame in real time while preserving background stability, using a three‑s…

cs.CV2026

GeoEdit: Geometry-Aware Object Editing via Dual-Branch Denoising

Yi He, Jiangming Wang, Xinyu Wang +5

Precisely manipulating objects in a single photograph (translation, rotation, scaling) while obeying 3D physical constraints remains unsolved for diffusion-based editors. Current 2…

cs.CV2026

LESA: Learnable Stage-Aware Predictors for Diffusion Model Acceleration

Peiliang Cai, Jiacheng Liu, Haowen Xu +3

Diffusion models have achieved remarkable success in image and video generation tasks. However, the high computational demands of Diffusion Transformers (DiTs) pose a significant c…

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…