Near-Linear Time Algorithm for the Chamfer Distance
No confident code implementation found for this paper. 2 possible matches can be shown below.
No confident code implementation found for this paper. 2 possible matches can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
Quasi-Monte Carlo Features for Kernel Approximation
Pseudoinverse-Guided Diffusion Models for Inverse Problems
Discriminator-Guided Embodied Planning for LLM Agent
Neuro-Symbolic Data Generation for Math Reasoning
@article{bakshi2026nearlinear,
title = {Near-Linear Time Algorithm for the Chamfer Distance},
author = {Ainesh Bakshi and Piotr Indyk and Rajesh Jayaram and Sandeep Silwal and Erik Waingarten},
year = {2026},
doi = {10.52202/075280-2918},
url = {https://doi.org/10.52202/075280-2918},
journal = {NEURIPS 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/0f07ccbcc4330cde77f2eea8e2a9cb1659ab524e)