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20242026
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cs.CV2026

ProductWebGen: Benchmarking Multimodal Product Webpage Generation

Zhihong Liu, Siqi Kou, Zheng Li +5

Crafting a product display webpage from a source product image, along with layout and visual content instructions, holds significant practical value for domains such as marketing,…

cs.CV2026

AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation

Milton Zhou, Sizhong Qin, Yongzhi Li +2

Short-form videos have become a primary medium for digital advertising, requiring scalable and efficient content creation. However, current workflows and AI tools remain disjoint a…

cs.CV2026

Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation

Yuyang You, Yongzhi Li, Jiahui Li +3

Video generation has recently emerged as a central task in the field of generative AI. However, the substantial computational cost inherent in video synthesis makes model distillat…

cs.CV2026

Narrative Weaver: Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning

Zhengjian Yao, Yongzhi Li, Xinyuan Gao +3

We present "Narrative Weaver", a novel framework that addresses a fundamental challenge in generative AI: achieving multi-modal controllable, long-range, and consistent visual cont…

cs.CV2025

EEA: Exploration-Exploitation Agent for Long Video Understanding

Te Yang, Xiangyu Zhu, Bo Wang +3

Long-form video understanding requires efficient navigation of extensive visual data to pinpoint sparse yet critical information. Current approaches to longform video understanding…

cs.CV2025

Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads

Siqi Kou, Jiachun Jin, Zhihong Liu +6

We introduce Orthus, an autoregressive (AR) transformer that excels in generating images given textual prompts, answering questions based on visual inputs, and even crafting length…