Roman Shapovalov

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 17

Top Topics

Unsupervised Learning

Articulated Objects

Top Venues

Publications

Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotný
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials. CoRR (2024)
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
Meta 3D Gen. CoRR (2024)
Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi
Novel-View Acoustic Synthesis. CVPR (2023)
Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. ICCV (2023)
Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CVPR (2023)
Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi
Novel-View Acoustic Synthesis. CoRR (2023)
Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. CoRR (2023)
Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CoRR (2022)
David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. CVPR (2022)
Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. CoRR (2021)
Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. ICCV (2021)
Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
Unsupervised Learning of 3D Object Categories From Videos in the Wild. CVPR (2021)
Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. CoRR (2021)
Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
Unsupervised Learning of 3D Object Categories from Videos in the Wild. CoRR (2021)
Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. ICCV (2021)
David Novotný, Roman Shapovalov, Andrea Vedaldi
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction. CoRR (2020)
David Novotný, Roman Shapovalov, Andrea Vedaldi
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction. NeurIPS (2020)
Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions. CoRR (2014)
Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli
Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions. EMMCVPR (2014)
Roman Shapovalov, Dmitry P. Vetrov, Pushmeet Kohli
Spatial Inference Machines. CVPR (2013)
Roman Shapovalov, Alexander Velizhev
Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation. 3DIMPVT (2011)