Roman Shapovalov

According to our database, Roman Shapovalov authored at least 14 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Meta 3D Gen.

Raphael Bensadoun, Tom Monnier, Yanir Kleiman, Filippos Kokkinos, Yawar Siddiqui, Mahendra Kariya, Omri Harosh, Roman Shapovalov, Benjamin Graham, Emilien Garreau, Animesh Karnewar, Ang Cao, Idan Azuri, Iurii Makarov, Eric-Tuan Le, Antoine Toisoul, David Novotný, Oran Gafni, Natalia Neverova, Andrea Vedaldi

CoRR, 2024

Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials.

Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotný

CoRR, 2024

2023

Replay: Multi-modal Multi-view Acted Videos for Casual Holography.

Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories.

Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Novel-View Acoustic Synthesis.

Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos.

David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension.

Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction.

Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Learning of 3D Object Categories From Videos in the Wild.

Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction.

David Novotný, Roman Shapovalov, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2014

Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions.

Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013

Spatial Inference Machines.

Roman Shapovalov, Dmitry P. Vetrov, Pushmeet Kohli

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation.

Roman Shapovalov, Alexander Velizhev

Proceedings of the International Conference on 3D Imaging, 2011

2003

Selection of optimal methods for intelligent process monitoring.

Roman Shapovalov, James R. Whiteley

Proceedings of the International Symposium on Intelligent Control, 2003