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20202026
most citedMotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

110 citations · 243 across the 40 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

From Pixels to Actions--Towards Native Vision-Language-Action Policies

Weichen Fan, Haiwen Diao, Penghao Wu +14

Vision-language-action models are typically built on a simple premise: perception is first compressed by visual encoders, and action reasoning begins only afterwards. Yet manipulat…

cs.CV2026

EgoTools: Towards Tool-Centric Reasoning in Real-World Egocentric Videos

Shulin Tian, Junsu Kim, Shuai Liu +17

Real-world embodied tasks, from everyday activities to professional procedures, require agents to act under physical constraints while tracking evolving object and task states. Too…

cs.CV2026

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence

Yalun Dai, Hao Li, Shulin Tian +8

Real-world spatial intelligence requires reasoning over a continuous and evolving 3D world, yet existing VLMs and tool-augmented agents largely remain tied to static, stateless inf…

cs.CV2026

IGGT4D: Streaming 4D Instance-Grounded Geometry Transformer

Zhengyu Zou, Hao Li, Kuixuan Jiao +7

Real-world spatial intelligence requires agents to understand scenes from continuous video streams, where objects move, persist, disappear, and reappear over time. While recent spa…

cs.CV2026

SpatialBench: Is Your Spatial Foundation Model an All-Round Player?

Haosong Peng, Hao Li, Jiaqi Chen +10

While spatial foundation models have demonstrated impressive performance on standard datasets, a critical question remains: are they truly all-round players capable of generalizing…

cs.RO2026

DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation

Haozhe Xie, Beichen Wen, Jiarui Zheng +4

Manipulating dynamic objects remains an open challenge for Vision-Language-Action (VLA) models. Although recent VLAs generalize well in static manipulation, dynamic scenes introduc…