Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence
Paper • 2605.30093 • Published • 15
Artur Jesslen
Arturjssln
AI & ML interests
None yet
Recent Activity
upvoted a paper 8 days ago
Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence upvoted a paper 9 days ago
SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models authored a paper 9 days ago
Category-Level 3D Correspondence in Camera Space via Morphable Object PriorsOrganizations
upvoted a paper 8 days ago
upvoted a paper 9 days ago
authored 2
papers 9 days ago
submitted a
paper to Daily Papers 13 days ago
upvoted 3
papers 14 days ago
NOVUM: Neural Object Volumes for Robust Object Classification
Paper • 2305.14668 • Published • 1
SeeThrough3D: Occlusion Aware 3D Control in Text-to-Image Generation
Paper • 2602.23359 • Published • 10
Category-Level 3D Correspondence in Camera Space via Morphable Object Priors
Paper • 2605.28257 • Published • 10
submitted a
paper to Daily Papers 14 days ago
upvoted a paper 16 days ago
submitted a
paper to Daily Papers 16 days ago
upvoted a paper 8 months ago
authored 6
papers 8 months ago
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
Paper • 2308.11737 • Published • 1
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
Paper • 2407.04384 • Published
NOVUM: Neural Object Volumes for Robust Object Classification
Paper • 2305.14668 • Published • 1
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
Paper • 2503.13429 • Published • 1
CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
Paper • 2507.17651 • Published
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Paper • 2407.09271 • Published
upvoted a paper 11 months ago