Media Summary: This paper proposes a compositional framework of Project page: Authors: Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotny, ... For 3D reconstruction and representation, we train a

Composite Neural Signed Distance Fields - Detailed Analysis & Overview

This paper proposes a compositional framework of Project page: Authors: Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotny, ... For 3D reconstruction and representation, we train a Project page: In RSS 2022 00:00 - Overview 00:29 - In this work, we introduce optimization nodes that significantly reduce the cost of evaluating How to derive formula of the SDF of a Line Segment, a common shape in procedural modeling. Support this channel: ...

Accepted at IJRR. Arxiv: Code: Project page: ... Authors: Tzathas, Petros*; Maragos, Petros; Roussos, Anastasios Description: In recent years, implicit surface representations ...

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Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments
Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
iSDF | RSS 2022 Talk | Real-Time Neural Signed Distance Fields for Robot Perception
Demetri Spanos – Foliated Distance Fields – BSC 2025
Neural Unsigned Distance Fields for Implicit Function Learning (NeurIPS 2020)
SDF (signed distance function)
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception
Accelerating Signed Distance Functions — Pacific Graphics 2025
The SDF of a Line Segment
Local Optimization for Robust Signed Distance Field Collision
Neural NMPC through Signed Distance Field Encoding for Collision Avoidance
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Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments

Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments

This paper proposes a compositional framework of

Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments

Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments

Neural Signed Distance Fields

Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning

Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning

We show that

iSDF | RSS 2022 Talk | Real-Time Neural Signed Distance Fields for Robot Perception

iSDF | RSS 2022 Talk | Real-Time Neural Signed Distance Fields for Robot Perception

Project page: https://joeaortiz.github.io/iSDF/ Authors: Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotny, ...

Demetri Spanos – Foliated Distance Fields – BSC 2025

Demetri Spanos – Foliated Distance Fields – BSC 2025

Demetri Spanos' talk "Foliated

Neural Unsigned Distance Fields for Implicit Function Learning (NeurIPS 2020)

Neural Unsigned Distance Fields for Implicit Function Learning (NeurIPS 2020)

For 3D reconstruction and representation, we train a

SDF (signed distance function)

SDF (signed distance function)

an introduction to

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception

Project page: https://joeaortiz.github.io/iSDF/ In RSS 2022 00:00 - Overview 00:29 -

Accelerating Signed Distance Functions — Pacific Graphics 2025

Accelerating Signed Distance Functions — Pacific Graphics 2025

In this work, we introduce optimization nodes that significantly reduce the cost of evaluating

The SDF of a Line Segment

The SDF of a Line Segment

How to derive formula of the SDF of a Line Segment, a common shape in procedural modeling. Support this channel: ...

Local Optimization for Robust Signed Distance Field Collision

Local Optimization for Robust Signed Distance Field Collision

Local Optimization for Robust

Neural NMPC through Signed Distance Field Encoding for Collision Avoidance

Neural NMPC through Signed Distance Field Encoding for Collision Avoidance

Accepted at IJRR. Arxiv: https://arxiv.org/abs/2511.21312 Code: https://github.com/ntnu-arl/sdf-nmpc Project page: ...

3D Neural Sculpting (3DNS): Editing Neural Signed Distance Functions

3D Neural Sculpting (3DNS): Editing Neural Signed Distance Functions

Authors: Tzathas, Petros*; Maragos, Petros; Roussos, Anastasios Description: In recent years, implicit surface representations ...