Efficient Implicit SDF and Color Reconstruction via Shared Feature Field

Dec 8, 2024·
Shuangkang Fang
Equal contribution
Dacheng Qi
Dacheng Qi
Equal contribution
,
Weixin Xu
,
Yufeng Wang
,
Huayu Zhang
,
Yufeng Wang
,
Zehao Zhang
,
Xiaorong Zhang
,
Huayu Zhang
,
Zeqi Shao
,
Wenrui Ding
· 1 min read
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Image credit: Unsplash
Abstract
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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Dacheng Qi
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.