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cs.CV2026

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes

Hao Ye, Zhan Shi, Chenglong Huang +4

Hyperspectral intrinsic decomposition (HID) aims to disentangle material-related spectral properties and photometric effects in hyperspectral images (HSIs), which is essential for…

cs.CV2025

Pressure2Motion: Hierarchical Human Motion Reconstruction from Ground Pressure with Text Guidance

Zhengxuan Li, Qinhui Yang, Yiyu Zhuang +7

We present Pressure2Motion, a novel motion capture algorithm that reconstructs human motion from a ground pressure sequence and text prompt. At inference time, Pressure2Motion requ…

cs.CV2025

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision

Kailai Zhou, Fuqiang Yang, Shixian Wang +5

RGB-Thermal (RGBT) multispectral vision is essential for robust perception in complex environments. Most RGBT tasks follow a case-by-case research paradigm, relying on manually cus…

cs.CV2025

MotionPRO: Exploring the Role of Pressure in Human MoCap and Beyond

Shenghao Ren, Yi Lu, Jiayi Huang +5

Existing human Motion Capture (MoCap) methods mostly focus on the visual similarity while neglecting the physical plausibility. As a result, downstream tasks such as driving virtua…

cs.CV2024

Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography

Kailai Zhou, Lijing Cai, Yibo Wang +4

The integration of miniaturized spectrometers into mobile devices offers new avenues for image quality enhancement and facilitates novel downstream tasks. However, the broader appl…

cs.CV2024

MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors

He Zhang, Shenghao Ren, Haolei Yuan +7

Foot contact is an important cue for human motion capture, understanding, and generation. Existing datasets tend to annotate dense foot contact using visual matching with threshold…