concept erasure 1inference-time adaptation 1model safety 1multimodal attention 1orthogonal value decomposition 1visual generation 1
From the 1 of 4 linked papers with an AI index.
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition
Qifan Zhou, Yuan Wang, Yanbin Hao +4
The paper introduces Uni-AdaVD, an inference-time framework that removes unwanted concepts from visual generative models by orthogonalizing and shifting value representations, work…
cs.CV2026
Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling
Yuan Wang, Ouxiang Li, Yulong Xu +8
Recent advances in generative video models are increasingly driven by post-training and test-time scaling, both of which critically depend on the quality of video reward models (RM…
cs.CV2026
Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model
Yuan Wang, Borui Liao, Huijuan Huang +5
Recent advances in video reward models and post-training strategies have improved text-to-video (T2V) generation. While these models typically assess visual quality, motion quality…