Andrea Vedaldi
- Papers
- 35
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Authored papers
35LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis
arXiv 2026
V-DPM: 4D Video Reconstruction with Dynamic Point Maps
arXiv 2026
DINOv3
arXiv 2025
VGGT: Visual Geometry Grounded Transformer
CVPR 2025 1
UnCommon Objects in 3D
CVPR 2025 1
Particulate: Feed-Forward 3D Object Articulation
arXiv 2025
VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory
ICCV 2025
SynCity: Training-Free Generation of 3D Worlds
arXiv 2025
Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
ICCV 2025
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better
CVPR 2025 1
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
arXiv 2024
3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
CVPR 2025 1
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering
arXiv 2024
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
arXiv 2024
Lightplane: Highly-Scalable Components for Neural 3D Fields
arXiv 2024
CoTracker: It is Better to Track Together
arXiv 2023
EPIC Fields: Marrying 3D Geometry and Video Understanding
NeurIPS 2023 11
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
CVPR 2024 1
DynamicStereo: Consistent Dynamic Depth from Stereo Videos
CVPR 2023 1
Online Clustered Codebook
ICCV 2023 1
Free3D: Consistent Novel View Synthesis without 3D Representation
CVPR 2024 1
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
ICCV 2023 1
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
open-set-recognition-a-good-closed-set
PASS: An ImageNet replacement for self-supervised pretraining without humans
NeurIPS Workshop ImageNet_PPF 2021 12
Continuous Surface Embeddings
continuous-surface-embeddings
There and Back Again: Revisiting Backpropagation Saliency Methods
there-and-back-again-revisiting-1
VGGSound: A Large-scale Audio-Visual Dataset
arXiv 2020
Self-labelling via simultaneous clustering and representation learning
ICLR 2020 1
A critical analysis of self-supervision, or what we can learn from a single image
ICLR 2020 1
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
understanding-deep-networks-via-extremal-1
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
gather-excite-exploiting-feature-context-in-1
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
net2vec-quantifying-and-explaining-how-1
Interpretable Explanations of Black Boxes by Meaningful Perturbation
interpretable-explanations-of-black-boxes-by-1
Learning multiple visual domains with residual adapters
learning-multiple-visual-domains-with-1
Understanding Deep Image Representations by Inverting Them
understanding-deep-image-representations-by-1
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