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20242026
most citedInterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction

2 citations · 3 across the 9 of their papers we have counts for

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cs.CV2026

CoCo-IR: Contextual Composed Image Retrieval

Shengcao Cao, Tanmaya Shekhar Dabral, Zhongli Ding +6

Current instruction-based image retrieval systems are powerful but limited to single-turn interactions, failing to capture the iterative nature of complex, real-world visual search…

cs.CV2026

PPTArena: A Benchmark for PowerPoint Editing

Michael Ofengenden, Yunze Man, Ziqi Pang +2

We introduce PPTArena, a benchmark for PowerPoint editing that evaluates how agents modify real slides from natural-language instructions. Unlike benchmarks that rely on image-PDF…

cs.CV2026

LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight

Yunze Man, Shihao Wang, Guowen Zhang +7

To act in the world, a model must name what it sees and know where it is in 3D. Today's vision-language models (VLMs) excel at open-ended 2D description and grounding, yet multi-ob…

cs.CV2026

InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions

Sirui Xu, Samuel Schulter, Morteza Ziyadi +4

Humans rarely plan whole-body interactions with objects at the level of explicit whole-body movements. High-level intentions, such as affordance, define the goal, while coordinated…

cs.CV2026

InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions

Sirui Xu, Hung Yu Ling, Yu-Xiong Wang +1

Achieving realistic simulations of humans interacting with a wide range of objects has long been a fundamental goal. Extending physics-based motion imitation to complex human-objec…

cs.CV2026

InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction

Sirui Xu, Ziyin Wang, Yu-Xiong Wang +1

Text-conditioned human motion generation has experienced significant advancements with diffusion models trained on extensive motion capture data and corresponding textual annotatio…