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20242026
most citedMotion Anything: Any to Motion Generation

1 citations · 1 across the 7 of their papers we have counts for

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cs.CV2026

PlatonicNav: Unveiling Semantic Correspondence in Navigation with Platonic Topological Maps

Junlin Long, Zeyu Zhang, Xu Deng +5

Embodied visual navigation, where an agent perceives a complex environment and acts to reach a goal from raw sensory input, underpins a wide range of applications such as household…

cs.CV2026

StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation

Zeyu Ren, Xiang Li, Yiran Wang +2

Stereo depth estimation is fundamental to underwater robotic perception, yet suffers from severe domain shifts caused by wavelength-dependent light attenuation, scattering, and ref…

cs.CV2025

StereoAdapter: Adapting Stereo Depth Estimation to Underwater Scenes

Zhengri Wu, Yiran Wang, Yu Wen +3

Underwater stereo depth estimation provides accurate 3D geometry for robotics tasks such as navigation, inspection, and mapping, offering metric depth from low-cost passive cameras…

cs.CV2025

Motion Anything: Any to Motion Generation

Zeyu Zhang, Yiran Wang, Wei Mao +7

Conditional motion generation has been extensively studied in computer vision, yet two critical challenges remain. First, while masked autoregressive methods have recently outperfo…

cs.CV2025

Human Motion Prediction, Reconstruction, and Generation

Canxuan Gang, Yiran Wang

This report reviews recent advancements in human motion prediction, reconstruction, and generation. Human motion prediction focuses on forecasting future poses and movements from h…

cs.CV2024

KMM: Key Frame Mask Mamba for Extended Motion Generation

Zeyu Zhang, Hang Gao, Akide Liu +9

Human motion generation is a cut-edge area of research in generative computer vision, with promising applications in video creation, game development, and robotic manipulation. The…