Jingyuan Gao — accepted AI-conference papers

2026

PhysIR-Splat: Physically Consistent Thermal Infrared Radiative Transfer in 3D Gaussian Splatting

Jingyuan Gao, Yumeng Hu, Fei Gao, Mingjin Zhang

CVPR 2026

Thermal infrared (TIR) 3D reconstruction provides geometry that is intrinsically coupled to the temperature field, even in low-light, nighttime, and smoke-obscured environments. TIR imaging measures self-emitted thermal radiation driven by object temperature and is largely independent of external il

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2026

The Structure-Equivalent Prior: Unifying Temporal Dynamics and 3D Evolution in 4D Latent Space

Jingyuan Gao, Tianyu Shen, Ruosen Hao, Te Guo, Zhiwei Li, Kunfeng Wang

AAAI 2026technical

Recent advances in deep learning-based 3D representation have achieved remarkable success, particularly in modeling static high-fidelity geometries. However, the extension of these techniques to dynamic 3D scenes introduces a critical challenge of effectively representing spatio-temporal dependencie

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