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cs.CV2026

From Dense Prediction to Visual Editing: Structured Supervision for Unified Image and Video Creation

Zhefan Rao, Bin Zou, Xuanhua He +5

Unified image and video creation requires a model to follow diverse instructions while preserving identity, geometry, and temporal structure from visual context. However, semantic-…

cs.CV2026

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget

Guoxuan Chen, Chufeng Xiao, Haoran Yang +30

We introduce Boogu-Image-0.1, an open-source unified multimodal understanding and generation model family, comprising Base, Turbo, Edit, and Edit-Turbo variants. It delivers compet…

cs.CV2026

Beyond Text Prompts: Visual-to-Visual Generation as A Unified Paradigm

Yaofang Liu, Kangning Cui, Meng Chu +7

Humans often specify and create through visual artifacts: typography sheets, sketches, reference images, and annotated scenes. Yet modern visual generators still ask users to seria…

cs.CV2026

SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation

Liangyang Ouyang, Ruicong Liu, Caixin Kang +2

Video generation has advanced rapidly, producing photorealistic videos from text or image prompts. Meanwhile, film production and social robotics increasingly demand multi-person v…

cs.CV2026

Reinforcing Multimodal Reasoning Against Visual Degradation

Rui Liu, Dian Yu, Haolin Liu +6

Reinforcement Learning has significantly advanced the reasoning capabilities of Multimodal Large Language Models (MLLMs), yet the resulting policies remain brittle against real-wor…

cs.CV2026

AEGIS: Exploring the Limit of World Knowledge Capabilities for Unified Mulitmodal Models

Jintao Lin, Bowen Dong, Weikang Shi +4

The capability of Unified Multimodal Models (UMMs) to apply world knowledge across diverse tasks remains a critical, unresolved challenge. Existing benchmarks fall short, offering…