# DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction

Source: [DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction](<https://www.sota2.com/research/paper/68fa74361e209131cea6076a>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T03:04:50.888Z

Authors: Yuxin Yao, Siyu Ren, Junhui Hou, Zhi Deng, Juyong Zhang, Wenping Wang

Published: 2024-03-18T08:58:48.000Z

## Abstract

This paper explores the problem of reconstructing temporally consistent surfaces from a 3D point cloud sequence without correspondence. To address this challenging task, we propose DynoSurf, an unsupervised learning framework integrating a template surface representation with a learnable deformation field. Specifically, we design a coarse-to-fine strategy for learning the template surface based on the deformable tetrahedron representation. Furthermore, we propose a learnable deformation representation based on the learnable control points and blending weights, which can deform the template surface non-rigidly while maintaining the consistency of the local shape. Experimental results demonstrate the significant superiority of DynoSurf over current state-of-the-art approaches, showcasing its potential as a powerful tool for dynamic mesh reconstruction. The code is publicly available at https://github.com/yaoyx689/DynoSurf.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Dynamic Surface Reconstruction on AMA (test)](<https://www.sota2.com/research/sota/dynamic-surface-reconstruction-on-ama-test.md>): Dynamic Surface Reconstruction; AMA (test); CD (10^-5): 1.01.

- [Dynamic Surface Reconstruction on DFAUST (test)](<https://www.sota2.com/research/sota/dynamic-surface-reconstruction-on-dfaust-test.md>): Dynamic Surface Reconstruction; DFAUST (test); Chamfer Distance (CD): 2.13.

- [Dynamic Surface Reconstruction on DT4D (test)](<https://www.sota2.com/research/sota/dynamic-surface-reconstruction-on-dt4d-test.md>): Dynamic Surface Reconstruction; DT4D (test); Chamfer Distance (CD): 15.18.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2403.11586>)

[PDF](<https://arxiv.org/pdf/2403.11586.pdf>)