collaborators

5 papers

cs.CV2026

VersusQ: Pairwise Margin Reasoning for Generalizable Video Quality Assessment

Shibei Meng, Binxin Yang, Yuan Liu +4

Large Multimodal Models (LMMs) have shown promise for video quality assessment, but most methods still predict an absolute score for each video. Such pointwise supervision often mi…

cs.CV2026

NOVA: Sparse Control, Dense Synthesis for Pair-Free Video Editing

Tianlin Pan, Jiayi Dai, Chenpu Yuan +7

Recent video editing models have achieved impressive results, but most still require large-scale paired datasets. Collecting such naturally aligned pairs at scale remains highly ch…

cs.CV2026

StableWorld: Towards Stable and Consistent Long Interactive Video Generation

Ying Yang, Zhengyao Lv, Yujia Zeng +9

In this paper, we explore the overlooked challenge of stability and temporal consistency in interactive video generation, which synthesizes dynamic and controllable video worlds th…

cs.CV2025

DiverseAR: Boosting Diversity in Bitwise Autoregressive Image Generation

Ying Yang, Zhengyao Lv, Tianlin Pan +5

In this paper, we investigate the underexplored challenge of sample diversity in autoregressive (AR) generative models with bitwise visual tokenizers. We first analyze the factors…

cs.CV2025

FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories

Lei Ke, Hubery Yin, Gongye Liu +6

With the success of flow matching in visual generation, sampling efficiency remains a critical bottleneck for its practical application. Among flow models' accelerating methods, Re…