3D graphics are made up of little more than very complicated math. With enough time, you could probably compute a ray marching by hand. Or, you could set up Excel to do it for you! Ray marching is a ...

3D graphics are made up of little more than very complicated math. With enough time, you could probably compute a ray marching by hand. Or, you could set up Excel to do it for you! Ray marching is a ...

We'll also see how well it generates new data, and finally we'll go over the key limitations of the copilot function. At the very end, I'll show you an alternative function to the copilot formula in ...

In the natural world, many situations exist in which a percept remains constant in the presence of profound changes in the physical stimulus affecting the sensory receptors. Some of the most ...

Abstract: We propose a method, HOTSPOT, for optimizing neural signed distance functions. Existing losses, such as the eikonal loss, act as necessary but insufficient constraints and cannot guarantee ...

Abstract: This paper presents a novel method for modeling the shape of a continuum robot as a Neural Configuration Signed Distance Function (N-CSDF). By learning separate distance fields for each link ...

This repository contains the implementation of the CVPR 2025 paper Toward Robust Neural Reconstruction from Sparse Point Sets by Amine Ouasfi, Shubhendu Jena, Eric Marchand, Adnane Boukhayma. This ...

A3D proposes a novel adaptive affordance learning framework for dual-arm manipulation in assembly tasks. The key insight is that effective support actions in dual-arm assembly require adaptation based ...