Differentiable Convex Polyhedra Optimization from Multi-view Images
Daxuan Ren*, Haiyi Mei, Hezi Shi, Jianmin Zheng, Jianfei Cai, Lei Yang
Abstract
"This paper presents a novel approach for the differentiable rendering of convex polyhedra, addressing the limitations of recent methods that rely on implicit field supervision. Our technique introduces a strategy that combines non-differentiable computation of hyperplane intersection through duality transform with differentiable optimization for vertex positioning with three-plane intersection, enabling gradient-based optimization without the need for 3D implicit fields. This allows for efficient shape representation across a range of applications, from shape parsing to compact mesh reconstruction. This work not only overcomes the challenges of previous approaches but also sets a new standard for representing shapes with convex polyhedra."
BibTeX
@inproceedings{eccv2024_differentiableco,
title = {Differentiable Convex Polyhedra Optimization from Multi-view Images},
author = {Daxuan Ren* and Haiyi Mei and Hezi Shi and Jianmin Zheng and Jianfei Cai and Lei Yang},
booktitle = {ECCV 2024},
year = {2024}
}