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cs.CV2026

EditaLive! Unified Character Video Editing for Live Streaming

Zhiyuan Li, Chi-Man Pun, Peng-Tao Jiang +2

Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis on the human subject. However, directly applying existing video-…

cs.CV2026

MagicMakeup: A Region-Controllable Diffusion Transformer for High-Fidelity Makeup-Transfer

Ziyi Wang, Siming Zheng, Yang Yang +5

Makeup-transfer applies the reference makeup to the source face while preserving the source identity. Despite advances in full-face editing by diffusion-based methods, strong regio…

cs.CV2026

ReDiffuse: Rotation Equivariant Diffusion Model for Multi-focus Image Fusion

Bo Li, Tingting Bao, Lingling Zhang +3

Diffusion models have achieved impressive performance on multi-focus image fusion (MFIF). However, a key challenge in applying diffusion models to the ill-posed MFIF problem is tha…

cs.CV2026

FlowConsist: Make Your Flow Consistent with Real Trajectory

Tianyi Zhang, Chengcheng Liu, Jinwei Chen +5

Fast flow models accelerate the iterative sampling process by learning to directly predict ODE path integrals, enabling one-step or few-step generation. However, we argue that curr…

cs.CV2026

Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling

Yuan Wang, Yuhao Wan, Siming Zheng +3

Recent works have explored reference-based super-resolution (RefSR) to mitigate hallucinations in diffusion-based image restoration. A key challenge is that real-world degradations…

cs.CV2025

CameraMaster: Unified Camera Semantic-Parameter Control for Photography Retouching

Qirui Yang, Yang Yang, Ying Zeng +5

Text-guided diffusion models have greatly advanced image editing and generation. However, achieving physically consistent image retouching with precise parameter control (e.g., exp…