Andrea Vedaldi

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 320

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)
Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu
Learning the 3D Fauna of the Web. CoRR (2024)
Paul Engstler, Andrea Vedaldi, Iro Laina, Christian Rupprecht
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting. CoRR (2024)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR (2024)
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR (2024)
Minghao Chen, Iro Laina, Andrea Vedaldi
DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing. CoRR (2024)
Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng, Dylan Campbell, João F. Henriques, Christian Rupprecht, Andrea Vedaldi
Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image. CoRR (2024)
Raphael Bensadoun, Yanir Kleiman, Idan Azuri, Omri Harosh, Andrea Vedaldi, Natalia Neverova, Oran Gafni
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects. CoRR (2024)
Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CoRR (2024)
Minghao Chen, Iro Laina, Andrea Vedaldi
Training-Free Layout Control with Cross-Attention Guidance. WACV (2024)
Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. 3DV (2024)
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
SHIC: Shape-Image Correspondences with no Keypoint Supervision. 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)
Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects. CoRR (2024)
Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. Int. J. Comput. Vis. 132 (2) (2024)
Chuanxia Zheng, Andrea Vedaldi
Free3D: Consistent Novel View Synthesis without 3D Representation. CoRR (2023)
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
Splatter Image: Ultra-Fast Single-View 3D Reconstruction. CoRR (2023)
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
What does CLIP know about a red circle? Visual prompt engineering for VLMs. CoRR (2023)
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. CoRR (2023)
Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
Real-time volumetric rendering of dynamic humans. CoRR (2023)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR (2023)
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CVPR (2023)
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper). IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi
Novel-View Acoustic Synthesis. CVPR (2023)
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
Continual Detection Transformer for Incremental Object Detection. CVPR (2023)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS (2023)
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CVPR (2023)
Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. CVPR (2023)
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
EPIC Fields: Marrying 3D Geometry and Video Understanding. CoRR (2023)
Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
Text-To-4D Dynamic Scene Generation. CoRR (2023)
Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi
SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds. 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. 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)
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
Continual Detection Transformer for Incremental Object Detection. CoRR (2023)
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CoRR (2023)
Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
MagicPony: Learning Articulated 3D Animals in the Wild. CVPR (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)
Sagar Vaze, Andrea Vedaldi, Andrew Zisserman
No Representation Rules Them All in Category Discovery. CoRR (2023)
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
What does CLIP know about a red circle? Visual prompt engineering for VLMs. ICCV (2023)
Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný
HoloFusion: Towards Photo-realistic 3D Generative Modeling. CoRR (2023)
Chuanxia Zheng, Andrea Vedaldi
Online Clustered Codebook. CoRR (2023)
Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark
Calibrated Uncertainties for Neural Radiance Fields. CoRR (2023)
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
DOVE: Learning Deformable 3D Objects by Watching Videos. Int. J. Comput. Vis. 131 (10) (2023)
Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. CoRR (2023)
Sagar Vaze, Andrea Vedaldi, Andrew Zisserman
No Representation Rules Them All in Category Discovery. NeurIPS (2023)
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi
RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR (2023)
Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi
Novel-View Acoustic Synthesis. CoRR (2023)
Minghao Chen, Iro Laina, Andrea Vedaldi
Training-Free Layout Control with Cross-Attention Guidance. CoRR (2023)
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
EPIC Fields: Marrying 3D Geometry and Video Understanding. NeurIPS (2023)
Aleksandar Shtedritski, Andrea Vedaldi, Christian Rupprecth
Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation. ICCV (Workshops) (2023)
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CoRR (2023)
Animesh Karnewar, Andrea Vedaldi, Niloy J. Mitra, David Novotný
GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. CoRR (2023)
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht
CoTracker: It is Better to Track Together. CoRR (2023)
Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images. CoRR (2023)
Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
Text-To-4D Dynamic Scene Generation. ICML (2023)
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. ICCV (2023)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. 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)
Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation. CoRR (2023)
Chuanxia Zheng, Andrea Vedaldi
Online Clustered Codebook. ICCV (2023)
Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. CoRR (2022)
Iro Laina, Yuki M. Asano, Andrea Vedaldi
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing. CoRR (2022)
Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns. NeurIPS (2022)
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR (2022)
Sagar Vaze, Kai Hant, Andrea Vedaldi, Andrew Zisserman
Generalized Category Discovery. CVPR (2022)
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
Generalized Category Discovery. CoRR (2022)
Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns. CoRR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR (2022)
Iro Laina, Yuki M. Asano, Andrea Vedaldi
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. ICLR (2022)
Robert McCraith, Eldar Insafutdinov, Lukás Neumann, Andrea Vedaldi
Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views. ICRA (2022)
Andrew Brown, Cheng-Yang Fu, Omkar M. Parkhi, Tamara L. Berg, Andrea Vedaldi
End-to-End Visual Editing with a Generatively Pre-trained Artist. ECCV (15) (2022)
Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. ECCV (32) (2022)
Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. BMVC (2022)
Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. CoRR (2022)
Xu Ji, Razvan Pascanu, R. Devon Hjelm, Balaji Lakshminarayanan, Andrea Vedaldi
Test Sample Accuracy Scales with Training Sample Density in Neural Networks. CoLLAs (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)
Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
MagicPony: Learning Articulated 3D Animals in the Wild. 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)
Andrew Brown, Cheng-Yang Fu, Omkar M. Parkhi, Tamara L. Berg, Andrea Vedaldi
End-to-End Visual Editing with a Generatively Pre-Trained Artist. CoRR (2022)
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
Open-Set Recognition: A Good Closed-Set Classifier is All You Need. ICLR (2022)
Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze
Self-supervised object detection from audio-visual correspondence. 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)
Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. CoRR (2022)
Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. 3DV (2022)
Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. NeurIPS (2021)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR (2021)
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)
Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi
Support-set bottlenecks for video-text representation learning. ICLR (2021)
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CoRR (2021)
Lukás Neumann, Andrea Vedaldi
Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera. CVPR (2021)
Xu Ji, Razvan Pascanu, R. Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
Predicting Unreliable Predictions by Shattering a Neural Network. CoRR (2021)
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
DOVE: Learning Deformable 3D Objects by Watching Videos. 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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrea Vedaldi