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20242026
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cs.CV2026

AgenticGen: Reward-Guided Agentic Video Generation for Advertising

Xingyuan Bu, Chengru Song, Hao Zhou +9

Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose success is measured by online business metrics. Recent video…

cs.CV2026

PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization

Ying Tang, Dong Li, Youjia Zhang +3

Unifying the complementary strengths of diverse Vision Foundation Models (VFMs) into a single efficient model is highly desirable but challenged by the negative transfer inherent i…

cs.CV2026

Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos

Mengmeng Ge, Takashi Isobe, Xu Jia +7

Understanding physical transformation processes is crucial for both human cognition and artificial intelligence systems, particularly from an egocentric perspective, which serves a…

cs.CV2025

E-MMDiT: Revisiting Multimodal Diffusion Transformer Design for Fast Image Synthesis under Limited Resources

Tong Shen, Jingai Yu, Dong Zhou +2

Diffusion models have shown strong capabilities in generating high-quality images from text prompts. However, these models often require large-scale training data and significant c…

cs.CV2025

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking

Zirui Zheng, Takashi Isobe, Tong Shen +12

Although autoregressive (AR) models have demonstrated remarkable success in image generation, extending these models to layout-conditioned generation remains challenging due to the…

cs.CV2025

AMD-Hummingbird: Towards an Efficient Text-to-Video Model

Takashi Isobe, He Cui, Dong Zhou +3

Text-to-Video (T2V) generation has attracted significant attention for its ability to synthesize realistic videos from textual descriptions. However, existing models struggle to ba…