Learning Continuous Mesh Representation With Spherical Implicit Surface

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Important Facts

Details TUM AI Lecture Series - Deep Surface Meshes (Pascal Fua) Update

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History

Details CSC2547 DeepSDF Learning Continuous Signed Distance Functions for Shape Representation Guide

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Learning to Infer Implicit Surfaces without 3D Supervision (NeurIPS 2019)

Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction. In ICCV, 2023.

Implicit Surfaces & Independent Research

DDN Invited Talk: Deep Surface Meshes (Prof Pascal Fua)

[CVPR 2023] Sphere-Guided Training of Neural Implicit Surfaces

SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes

Neural Implicit Representations for 3D Vision - Prof. Andreas Geiger

[CVPR 2023] Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors

Rendering Volumes and Implicit Shapes in PyTorch3D

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction

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Data is compiled from public records and verified media reports.

Last Updated: September 27, 2026

Final Thoughts

Information [ICLR25] Implicit Neural Surface Deformation with Explicit Velocity Fields Guide

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Summary

Authors: Zhongpai Gao (Shanghai Jiao Tong University )* Description: PDF: papers.nips.cc/paper/9039- Efficiently evaluate geometric queries ray casting, intersection testing, closest-point, and more on existing neural Paper Abstract: Recent methods for neural In this talk, Professor Andreas Geiger will show several recent results of his group on Facebook AI Research Scientist David Novotny gives an overview of the latest release of PyTorch3D. The release comprises a set ...

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