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Chamin Hewa Koneputugodage

6 accepted papers

2026

Factored Gossip DiLoCo: Reducing Blocking Communication within DiLoCo

Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Hadi Mohaghegh Dolatabadi, Shamane Siriwardhana, Gil Avraham +4
ICML 2026poster

To make large-scale distributed training practical outside high-bandwidth datacenters, we must reduce blocking, high-volume synchronization. While DiLoCo communicates infrequently, its outer synchronization remains bandwidth-heavy and brittle to stragglers and transient failures. We relax exact sync…

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2025

Leaps and Bounds: An Improved Point Cloud Winding Number Formulation for Fast Normal Estimation and Surface Reconstruction

Chamin Hewa Koneputugodage, Dylan Campbell, Stephen Gould
ICCV 2025poster

Recent methods for point cloud surface normal estimation predominantly use the generalized winding number field induced by the normals. Optimizing the field towards satisfying desired properties, such as the input points being on the surface defined by the field, provides a principled way to obtain…

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2025

VI^3NR: Variance Informed Initialization for Implicit Neural Representations

Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Sameera Ramasinghe, Stephen Gould
CVPR 2025poster

Implicit Neural Representations (INRs) are a versatile and powerful tool for encoding various forms of data, including images, videos, sound, and 3D shapes. A critical factor in the success of INRs is the initialization of the network, which can significantly impact the convergence and accuracy of t…

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2024

Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance

Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Dylan Campbell, Stephen Gould
CVPR 2024poster

A neural signed distance function (SDF) is a convenient shape representation for many tasks such as surface reconstruction editing and generation. However neural SDFs are difficult to fit to raw point clouds such as those sampled from the surface of a shape by a scanner. A major issue occurs when th…

Cited by 3Source ↗PDF ↗code ↗Scholar ↗
2023

Octree Guided Unoriented Surface Reconstruction

Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Stephen Gould
CVPR 2023poster

We address the problem of surface reconstruction from unoriented point clouds. Implicit neural representations (INRs) have become popular for this task, but when information relating to the inside versus outside of a shape is not available (such as shape occupancy, signed distances or surface normal…

Cited by 17Source ↗PDF ↗code ↗Scholar ↗
2022

DiGS: Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds

Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould
CVPR 2022poster

Shape implicit neural representations (INR) have recently shown to be effective in shape analysis and reconstruction tasks. Existing INRs require point coordinates to learn the implicit level sets of the shape. When a normal vector is available for each point, a higher fidelity representation can be…

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