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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

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

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

Group Editing: Edit Multiple Images in One Go

Yue Ma, Xinyu Wang, Qianli Ma +9

In this paper, we tackle the problem of performing consistent and unified modifications across a set of related images. This task is particularly challenging because these images m…

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…