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2020 – today
- 2024
[c37]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. CVPR 2024: 5043-5052- [c36]Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotný:
VGGSfM: Visual Geometry Grounded Deep Structure from Motion. CVPR 2024: 21686-21697 - [c35]Remy Sabathier
, Niloy J. Mitra, David Novotný:
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos. ECCV (79) 2024: 270-287 - [c34]Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotný:
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. ECCV (88) 2024: 454-472 - [i34]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 abs/2403.01807 (2024) - [i33]Remy Sabathier, Niloy J. Mitra, David Novotný:
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos. CoRR abs/2403.17103 (2024) - [i32]Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotný:
Lightplane: Highly-Scalable Components for Neural 3D Fields. CoRR abs/2404.19760 (2024) - [i31]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 abs/2407.02445 (2024) - [i30]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 abs/2407.02599 (2024) - 2023
- [c33]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: 4881-4891 - [c32]Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra:
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. CVPR 2023: 18423-18433 - [c31]Jianyuan Wang, Christian Rupprecht, David Novotný:
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. ICCV 2023: 9739-9749 - [c30]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: 20281-20291 - [c29]Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný:
HoloFusion: Towards Photo-realistic 3D Generative Modeling. ICCV 2023: 22919-22928 - [c28]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: 1-4 - [c27]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-supervised Correspondence Estimation via Multiview Registration. WACV 2023: 1216-1225 - [i29]Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
Real-time volumetric rendering of dynamic humans. CoRR abs/2303.11898 (2023) - [i28]Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra:
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images. CoRR abs/2303.16509 (2023) - [i27]Jianyuan Wang, Christian Rupprecht, David Novotný:
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. CoRR abs/2306.15667 (2023) - [i26]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 abs/2307.12067 (2023) - [i25]Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný:
HoloFusion: Towards Photo-realistic 3D Generative Modeling. CoRR abs/2308.14244 (2023) - [i24]Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotný:
Visual Geometry Grounded Deep Structure From Motion. CoRR abs/2312.04563 (2023) - [i23]Animesh Karnewar, Andrea Vedaldi, Niloy J. Mitra, David Novotný:
GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. CoRR abs/2312.08744 (2023) - 2022
- [c26]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: 5057-5066 - [c25]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: 5067-5077 - [c24]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: 5585-5594 - [c23]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 - [i22]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 abs/2204.02296 (2022) - [i21]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 abs/2206.01916 (2022) - [i20]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 abs/2211.03889 (2022) - [i19]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR abs/2212.03236 (2022) - 2021
- [j3]David Novotný, Vojtech Petrucha, Michal Dressler, Antonín Platil:
Characterization of a Digital AMR Magnetometer for Space Applications. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [c22]Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR 2021: 404-413 - [c21]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: 4700-4709 - [c20]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: 7473-7483 - [c19]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: 10881-10891 - [c18]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: 11709-11719 - [c17]Michal Janosek, David Novotný, Michal Dressler, Elda Saunderson:
Low frequency noise investigation of pT-level magnetic sensors by cross-spectral method. IEEE SENSORS 2021: 1-4 - [i18]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 abs/2103.16552 (2021) - [i17]Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi:
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CoRR abs/2106.09431 (2021) - [i16]Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships between Object Categories via Universal Canonical Maps. CoRR abs/2106.09758 (2021) - [i15]Matan Atzmon, David Novotný, Andrea Vedaldi, Yaron Lipman:
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields. CoRR abs/2108.08931 (2021) - [i14]Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi:
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. CoRR abs/2109.00033 (2021) - [i13]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 abs/2109.00512 (2021) - 2020
- [j2]David Novotný, Diane Larlus, Andrea Vedaldi:
Capturing the Geometry of Object Categories from Video Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 261-275 (2020) - [j1]Michal Janosek, Mattia Butta, Michal Dressler, Elda Saunderson, David Novotný, Coenrad J. Fourie:
1-pT Noise Fluxgate Magnetometer for Geomagnetic Measurements and Unshielded Magnetocardiography. IEEE Trans. Instrum. Meas. 69(5): 2552-2560 (2020) - [c16]Benjamin Graham, David Novotný:
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty. 3DV 2020: 652-662 - [c15]David Novotný, Vojtech Petrucha, Michal Dressler, Antonín Platil:
AMR Magnetometer With Digital Feedback for Space Applications. I2MTC 2020: 1-6 - [c14]David Novotný, Vojtech Petrucha:
High Dynamic Range Digital Fluxgate Magnetometer. IEEE SENSORS 2020: 1-4 - [c13]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 - [c12]Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi:
Continuous Surface Embeddings. NeurIPS 2020 - [c11]David Novotný, Roman Shapovalov, Andrea Vedaldi:
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction. NeurIPS 2020 - [i12]Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari:
Accelerating 3D Deep Learning with PyTorch3D. CoRR abs/2007.08501 (2020) - [i11]David Novotný, Roman Shapovalov, Andrea Vedaldi:
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction. CoRR abs/2008.12709 (2020) - [i10]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 abs/2011.00980 (2020) - [i9]Benjamin Graham, David Novotný:
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty. CoRR abs/2011.10359 (2020) - [i8]Natalia Neverova, David Novotný, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi:
Continuous Surface Embeddings. CoRR abs/2011.12438 (2020)
2010 – 2019
- 2019
- [c10]Michal Janosek, Mattia Butta, Michal Dressler, Elda Saunderson, David Novotný, Coenrad J. Fourie:
1 pT-noise fluxgate magnetometer design and its performance in geomagnetic measurements. I2MTC 2019: 1-5 - [c9]David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. ICCV 2019: 7687-7696 - [c8]Natalia Neverova, David Novotný, Andrea Vedaldi:
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels. NeurIPS 2019: 918-926 - [c7]David Novotný, Benjamin Graham, Jeremy Reizenstein:
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments. NeurIPS 2019: 7599-7610 - [i7]David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. CoRR abs/1909.02533 (2019) - 2018
- [b1]David Novotný:
Learning the structure of object categories from incomplete supervision. University of Oxford, UK, 2018 - [c6]David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi:
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CVPR 2018: 3637-3645 - [c5]David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi:
Semi-convolutional Operators for Instance Segmentation. ECCV (1) 2018: 89-105 - [i6]David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi:
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CoRR abs/1804.01552 (2018) - [i5]David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi:
Semi-convolutional Operators for Instance Segmentation. CoRR abs/1807.10712 (2018) - 2017
- [c4]David Novotný, Diane Larlus, Andrea Vedaldi:
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. CVPR 2017: 2867-2876 - [c3]David Novotný, Diane Larlus, Andrea Vedaldi:
Learning 3D Object Categories by Looking Around Them. ICCV 2017: 5228-5237 - [p1]David Novotný, Diane Larlus, Andrea Vedaldi:
Generalizing Semantic Part Detectors Across Domains. Domain Adaptation in Computer Vision Applications 2017: 259-273 - [i4]David Novotný, Diane Larlus, Andrea Vedaldi:
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching. CoRR abs/1704.04749 (2017) - [i3]David Novotný, Diane Larlus, Andrea Vedaldi:
Learning 3D Object Categories by Looking Around Them. CoRR abs/1705.03951 (2017) - 2016
- [c2]David Novotný, Diane Larlus, Andrea Vedaldi:
I Have Seen Enough: Transferring Parts Across Categories. BMVC 2016 - [c1]David Novotný, Diane Larlus, Andrea Vedaldi:
Learning the Structure of Objects from Web Supervision. ECCV Workshops (3) 2016: 218-235 - [i2]David Novotný, Diane Larlus, Andrea Vedaldi:
Learning the semantic structure of objects from Web supervision. CoRR abs/1607.01205 (2016) - 2015
- [i1]David Novotný, Diane Larlus, Florent Perronnin, Andrea Vedaldi:
Understanding the Fisher Vector: a multimodal part model. CoRR abs/1504.04763 (2015)
Coauthor Index
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last updated on 2024-12-23 19:33 CET by the dblp team
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