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CSC2547 DeepSDF Learning Continuous Signed Distance Functions for Shape Representation
Building Shapes with Math | An introduction to signed distance functions
SDF (signed distance function)
Accelerating Signed Distance Functions — Pacific Graphics 2025
Graphics 3 [9]: Signed Distance Function Part 1
SDFDiff:Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization (CVPR2020 Oral)
Ray Marching, and making 3D Worlds with Math
The PhaseTree: Multiphase Signed Distance Fields (ACM TOG - SIGGRAPH 2026)
Coding Adventure: Ray Marching
Neural Unsigned Distance Fields for Implicit Function Learning (NeurIPS 2020)
DDN Invited Talk: Deep Surface Meshes (Prof Pascal Fua)
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Last Updated: September 24, 2026
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Authors: Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui Description: We propose a ... This video contains several demonstrations on various applications enabled by a newly proposed Authors: Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker Description: We propose SDFDiff, a novel approach for ... Paper Title: DeepSDF: Learning Continuous Over the past few months, I've been playing around with 2D This video presents our research paper "Accelerating Built this entire video on raymarching in shaders using shaders, ray marching, and In this coding adventure I explore ray marching and For 3D reconstruction and representation, we train a neural model to predict an unsigned
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