Neural Unsigned Distance Fields For

For 3D reconstruction and representation, we train a

reconstruction has achieved impressive progresses thanks to the latest advances in

Short video explaining the paper "

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

In recent years, there has been a growing interest in training

Follow @csgKAUST on X (Twitter) ... https://twitter.com/csgkaust #HYVE: Hybrid Vertex Encoder for #NeuralDistanceFields Stefan ...

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

Demetri Spanos' talk "Foliated

By providing a continuous and differentiable representation of three-dimensional shapes whose topology can change, Signed ...

This video describes

Authors: Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon Description: Many tasks in graphics ...

NeUDF Learning

an introduction to signed

PAPER LINKS: SDF-SRN: Learning Signed

Abstract. Accurate and consistent localization remains a critical challenge for au-tonomous mobile robots operating under ...

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

Video presentation of the paper "DUDF: Differentiable

Faithfully modeling the space of articulations is a crucial task that allows recovery and generation of realistic poses, and remains a ...

This video presents our research paper "Accelerating Signed

20-second Fast Forward for "A Heat Method for Generalized Signed