David Novotný

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 69

Top Topics

Semantic Matching

Object Categories

Structure From Motion

Diffusion Models

Top Venues

Publications

Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotný
Lightplane: Highly-Scalable Components for Neural 3D Fields. CoRR (2024)
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)
Remy Sabathier, Niloy J. Mitra, David Novotný
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos. CoRR (2024)
Lukas Höllein, Aljaz Bozic, Norman Müller, David Novotný, Hung-Yu Tseng, Christian Richardt, Michael Zollhöfer, Matthias Nießner
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. 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)
Vojtech Petrucha, David Novotný, Kajctán Sobísek
Magnetometry Package for L VICE2 Mission: Triaxial Fluxgate and AMR Magnetometer for Scientific Data Production Near Moon. SENSORS (2023)
Jianyuan Wang, Christian Rupprecht, David Novotný
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. ICCV (2023)
Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
Real-time volumetric rendering of dynamic humans. CoRR (2023)
Jianyuan Wang, Christian Rupprecht, David Novotný
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. CoRR (2023)
Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. 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)
Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
Self-supervised Correspondence Estimation via Multiview Registration. WACV (2023)
Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný
HoloFusion: Towards Photo-realistic 3D Generative Modeling. 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)
Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný
HoloFusion: Towards Photo-realistic 3D Generative Modeling. CoRR (2023)
Animesh Karnewar, Andrea Vedaldi, Niloy J. Mitra, David Novotný
GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. CoRR (2023)
Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images. 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)
Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotný
Visual Geometry Grounded Deep Structure From Motion. CoRR (2023)
Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CoRR (2022)
Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CVPR Workshops (2022)
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. CoRR (2022)
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. Robotics: Science and Systems (2022)
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)
Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR (2022)
Hugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotný, Richard A. Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas
Feature Query Networks: Neural Surface Description for Camera Pose Refinement. CVPR Workshops (2022)
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
Discovering Relationships between Object Categories via Universal Canonical Maps. CoRR (2021)
Matan Atzmon, David Novotný, Andrea Vedaldi, Yaron Lipman
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields. 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. CoRR (2021)
Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. 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. 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)
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR (2021)
Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CoRR (2021)
Michal Janosek, David Novotný, Michal Dressler, Elda Saunderson
Low frequency noise investigation of pT-level magnetic sensors by cross-spectral method. IEEE SENSORS (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)
David Novotný, Vojtech Petrucha, Michal Dressler, Antonín Platil
Characterization of a Digital AMR Magnetometer for Space Applications. IEEE Trans. Instrum. Meas. 70 (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)
Natalia Neverova, David Novotný, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
Continuous Surface Embeddings. CoRR (2020)
Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi
Continuous Surface Embeddings. NeurIPS (2020)
David Novotný, Diane Larlus, Andrea Vedaldi
Capturing the Geometry of Object Categories from Video Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Benjamin Graham, David Novotný
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty. 3DV (2020)
David Novotný, Vojtech Petrucha, Michal Dressler, Antonín Platil
AMR Magnetometer With Digital Feedback for Space Applications. I2MTC (2020)
Benjamin Biggs, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotný
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. CoRR (2020)
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)
David Novotný, Vojtech Petrucha
High Dynamic Range Digital Fluxgate Magnetometer. IEEE SENSORS (2020)
Benjamin Graham, David Novotný
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty. CoRR (2020)
Michal Janosek, Mattia Butta, Michal Dressler, Elda Saunderson, David Novotný, Coenrad Fourie
1-pT Noise Fluxgate Magnetometer for Geomagnetic Measurements and Unshielded Magnetocardiography. IEEE Trans. Instrum. Meas. 69 (5) (2020)
Benjamin Biggs, David Novotný, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. NeurIPS (2020)
Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari
Accelerating 3D Deep Learning with PyTorch3D. CoRR (2020)
Natalia Neverova, David Novotný, Andrea Vedaldi
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels. NeurIPS (2019)
David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. ICCV (2019)
David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. CoRR (2019)
David Novotný, Benjamin Graham, Jeremy Reizenstein
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments. NeurIPS (2019)
Michal Janosek, Mattia Butta, Michal Dressler, Elda Saunderson, David Novotný, Coenrad Fourie
1 pT-noise fluxgate magnetometer design and its performance in geomagnetic measurements. I2MTC (2019)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CVPR (2018)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Semi-convolutional Operators for Instance Segmentation. CoRR (2018)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Semi-convolutional Operators for Instance Segmentation. ECCV (1) (2018)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CoRR (2018)
David Novotný, Diane Larlus, Andrea Vedaldi
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching. CoRR (2017)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning 3D Object Categories by Looking Around Them. ICCV (2017)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning 3D Object Categories by Looking Around Them. CoRR (2017)
David Novotný, Diane Larlus, Andrea Vedaldi
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. CVPR (2017)
David Novotný, Diane Larlus, Andrea Vedaldi
I Have Seen Enough: Transferring Parts Across Categories. BMVC (2016)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning the semantic structure of objects from Web supervision. CoRR (2016)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning the Structure of Objects from Web Supervision. ECCV Workshops (3) (2016)
David Novotný, Diane Larlus, Florent Perronnin, Andrea Vedaldi
Understanding the Fisher Vector: a multimodal part model. CoRR (2015)