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cs.CV2026

Generalize LMMs to Versatile Visual Modalities via Fabricated Modality Synthesis

Shihao Yuan, Yuanze Li, Ruyi Zhang +2

Despite the advancements of Large Multimodal Models (LMMs) in RGB vision, their ability to generalize to unseen visual modalities remains a largely unexplored challenge. We argue t…

cs.CV2026

OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization

Feng Zhu, Shuyang Xie, Yihan Zeng +2

Real-world image restoration is challenging due to complex and interacting mixed degradations. Recent agent-based approaches address this problem by composing multiple task-specifi…

cs.CV2026

ScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors

Haodong Yu, Yabo Zhang, Donglin Di +2

While diffusion models excel at generating images with conventional dimensions, pushing them to synthesize ultra-high-resolution imagery at extreme aspect ratios (EAR) often trigge…

cs.CV2026

Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining

Weijun Zhuang, Yuqing Huang, Weikang Meng +5

Large-scale video-language pretraining enables strong generalization across multimodal tasks but often incurs prohibitive computational costs. Although recent advances in masked vi…

cs.CV2026

MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling

Haoyu Wang, Hao Tang, Donglin Di +5

Existing video generation models predominantly emphasize appearance fidelity while exhibiting limited ability to synthesize complex human motions, such as whole-body movements, lon…

cs.CV2026

Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer

Yecong Wan, Mingwen Shao, Renlong Wu +1

In this work, we present Color3D, a highly adaptable framework for colorizing both static and dynamic 3D scenes from monochromatic inputs, delivering visually diverse and chromatic…