Xiaowei Zhou* — accepted AI-conference papers

2024

IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination

Xi Chen*, Sida Peng, Dongchen Yang, Yuan Liu, Bowen Pan, Chengfei Lyu +1

ECCV 2024poster

"† Corresponding author. This paper aims to recover object materials from posed images captured under an unknown static lighting condition. Recent methods solve this task by optimizing material parameters through differentiable physically based rendering. However, due to the coupling between object…

Cited by 12 Source ↗PDF ↗code ↗Scholar ↗

2024

SAM-guided Graph Cut for 3D Instance Segmentation

Haoyu Guo*, He Zhu, Sida Peng, Yuang Wang, Yujun Shen, Ruizhen Hu* +1

ECCV 2024poster

"∗ Equal contribution † Corresponding authors This paper addresses the challenge of 3D instance segmentation by simultaneously leveraging 3D geometric and multi-view image information. Many previous works have applied deep learning techniques to 3D point clouds for instance segmentation. However, th…

Cited by 18 Source ↗PDF ↗Scholar ↗