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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 differentiable sphere tracing ... This video presents our research paper "Accelerating Poster at the ECCV2020 workshop on "Learning 3D Representations for Shape and Appearance" Project page: ... This is a video describing LDIF, our CVPR 2020 paper "Local For 3D reconstruction and representation, we train a neural model to predict an unsigned distance field as opposed to the more ...

Learning-based 3D reconstruction methods have shown impressive results. However, most methods require 3D supervision ... Distance Field Visualization and 2D Abstraction of Vessel Tree Structures with on-the-fly Parameterization Nils Lichtenberg, ... Over the past few months, I've been playing around with 2D Hello, everyone. In this video, I am going to explain this paper to you. DISN: Authors: Tzathas, Petros*; Maragos, Petros; Roussos, Anastasios Description: In recent years,

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Accelerating Signed Distance Functions — Pacific Graphics 2025
Implicit Differentiable Renderer - ECCV2020 workshop on 3DReps
Local Deep Implicit Functions for 3D Shapes
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization CVPR2020 Oral
Local Deep Implicit Functions for 3D Shape
Neural Unsigned Distance Fields for Implicit Function Learning (NeurIPS 2020)
SDF (signed distance function)
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Distance Field Visualization and 2D Abstraction of Vessel Trees
SDFDiff:Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization (CVPR2020 Oral)
CSC2547 DeepSDF Learning Continuous Signed Distance Functions for Shape Representation
Building Shapes with Math | An introduction to signed distance functions

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Last Updated: June 7, 2026

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DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
DIST: A Differentiable Renderer over Implicit Signed Distance Function
DIST: A Differentiable Renderer over Implicit Signed Distance Function (updated 20.06.12)
Accelerating Signed Distance Functions — Pacific Graphics 2025
Implicit Differentiable Renderer - ECCV2020 workshop on 3DReps
Local Deep Implicit Functions for 3D Shapes
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization CVPR2020 Oral
Local Deep Implicit Functions for 3D Shape