Search Results for author: Roman Klokov

Found 6 papers, 4 papers with code

Self-Supervised Dual Contouring

no code implementations CVPR 2024 Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov

Instead of optimizing predicted mesh vertices with supervised training, we use two novel self-supervised loss functions that encourage the consistency between distances to the generated mesh up to the first order.

VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams

no code implementations ICCV 2023 Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun

In stark contrast to the case of images, finding a concise, learnable discrete representation of 3D surfaces remains a challenge.

Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image

1 code implementation20 Aug 2019 Roman Klokov, Jakob Verbeek, Edmond Boyer

We study end-to-end learning strategies for 3D shape inference from images, in particular from a single image.

3D Reconstruction

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

2 code implementations ICCV 2017 Roman Klokov, Victor Lempitsky

We present a new deep learning architecture (called Kd-network) that is designed for 3D model recognition tasks and works with unstructured point clouds.

3D Part Segmentation 3D Point Cloud Classification +2

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