Runqing Tan — accepted AI-conference papers

2025

C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution

Jiahui Kang, Qing Cai, Runqing Tan, Yimei Liu, Zhi Liu

AAAI 2025technical

Guided depth super-resolution (GDSR) has demonstrated impressive performance across a wide range of domains, with numerous methods being proposed. However, existing methods often treat depth maps as images, where shading values are computed discretely, making them struggle to effectively restore the…

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2025

MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image

Shaoming Li, Qing Cai, Songqi Kong, Runqing Tan, Heng Tong, Shiji Qiu +2

CVPR 2025poster

Reconstructing 3D shapes from a single image plays an important role in computer vision. Many methods have been proposed and achieve impressive performance. However, existing methods mainly focus on extracting semantic information from images and then simply concatenating it with 3D point clouds wit…

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