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20242026
most citedGrounded SAM: Assembling Open-World Models for Diverse Visual Tasks

93 citations · 95 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Scaling Properties of Text Conditioning in Visual Generation

Zilong Chen, Chaorui Deng, Kunchang Li +2

We study empirical scaling properties for text conditioning in visual generation. Such properties have rarely been measured because diffusion loss does not scale with the number of…

cs.CV2026

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation

Dewei Zhou, Xinyu Huang, Xun Wang +6

Generative visual models fundamentally struggle with precise spatial control. This arises from a core disconnect: models can process textual descriptions of space but cannot direct…

cs.CV2026

Images in Sentences: Scaling Interleaved Instructions for Unified Visual Generation

Yabo Zhang, Kunchang Li, Dewei Zhou +2

While recent advancements in multimodal language models have enabled image generation from expressive multi-image instructions, existing methods struggle to maintain performance un…

cs.AI2026

EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents

Ruofei Ju, Xinrui Wang, Xin Ding +12

Embodied agents can benefit from skills that guide object search, action execution, and state changes across diverse environments. Since embodied environments vary across layouts,…

cs.CV2026

Context Unrolling in Omni Models

Ceyuan Yang, Zhijie Lin, Yang Zhao +16

We present Omni, a unified multimodal model natively trained on diverse modalities, including text, images, videos, 3D geometry, and hidden representations. We find that such train…

cs.CV2026

UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation

Jie Liu, Zilyu Ye, Linxiao Yuan +8

Unified models capable of interleaved generation have emerged as a promising paradigm, with the community increasingly converging on autoregressive modeling for text and flow match…