GenIntelLab/HouseCorr3D
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Papers
SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence
Arturjssln
updated a
dataset about 16 hours ago
Arturjssln
published a
dataset about 16 hours ago
odunkel
submitted a
paper to Daily Papers 22 days ago
odunkel
authored 2
papers 22 days ago
Arturjssln
authored a
paper 22 days ago
odunkel
authored a
paper 22 days ago
Arturjssln
authored a
paper 22 days ago
odunkel
authored a
paper 22 days ago
odunkel
published a
dataset 23 days ago
odunkel
updated a
dataset 23 days ago
Arturjssln
submitted a
paper to Daily Papers 26 days ago
Arturjssln
submitted a
paper to Daily Papers 27 days ago
Arturjssln
submitted a
paper to Daily Papers 29 days ago
va1bhavagrawa1
submitted a
paper to Daily Papers 4 months ago
Arturjssln
authored 5
papers 9 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