DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering-Reference-Cited by-同舟云学术

DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Li Zongrui¹,Zheng Qian²,Shi Boxin³,Pan Gang²,Jiang Xudong¹

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological University,Singapore

2. Zhejiang University,The State Key Lab of Brain-Machine Intelligence,Hangzhou,China

3. School of Computer Science, Peking University,National Key Laboratory for Multimedia Information Processing,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204993.pdf?arnumber=10204993

Reference66 articles.

1. Incorporating the Torrance and Sparrow model of reflectance in uncalibrated photometric stereo

2. S3-nerf: Neural reflectance field from shading and shadow under a single viewpoint;yang;Proc Conference on Neural Information Processing Systems (NeurIPS),0

3. Efficient photometric stereo on glossy surfaces with wide specular lobes;chung;Proc Computer Vision and Pattern Recognition (CVPR),0

4. Ps-nerf: Neural inverse rendering for multi-view photometric stereo;yang;Proc European Conference on Computer Vision (ECCV),0

5. Uncalibrated photometric stereo constrained by intrinsic re-flectance image and shape from silhoutte;hashimoto;Conference on Machine Vision Applications (MVA),0

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