Efficient Implicit SDF and Color Reconstruction via Shared Feature Field
Dec 8, 2024·
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1 min read
Shuangkang Fang
Equal contribution
Dacheng Qi
Equal contribution
,Weixin Xu
Yufeng Wang
Huayu Zhang
Yufeng Wang
Zehao Zhang
Xiaorong Zhang
Huayu Zhang
Zeqi Shao
Wenrui Ding
Image credit: UnsplashAbstract
In this study, we introduce a simple yet effective encoder-decoder framework that encodes positional and viewpoint coordinates into a shared feature field (SFF). This feature field is then decoded into an implicit signed distance field (SDF) and a color field. By employing a weight-sharing encoder, we enhance the joint optimization of the SDF and color field, enabling better utilization of the limited information in the scene. Additionally, we incorporate a periodic sine function as an activation function, eliminating the need for a positional encoding layer and significantly reducing rippling artifacts on surfaces.
Type
Publication
Proceedings of the Asian Conference on Computer Vision
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Authors
Dacheng Qi
(he/him)
PhD Student
I am a Ph.D. student in Computing & Data Science at The University of Hong Kong, supervised by Prof. Yi Ma and Prof. Shenghua Gao. I received my M.S. degree from Beihang University under the supervision of Prof. Wenrui Ding and Researcher Yufeng Wang.
My research interests lie in generative methods for 3D design and manufacturing, especially parametric CAD synthesis and its integration with multimodal large language models. Before this, I worked on 3D generation.