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Surface Normal Estimation

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Showing 51–75 of 96 papers

TitleStatusHype
What is Learned in Deep Uncalibrated Photometric Stereo?—0
A Large-Scale Homography Benchmark—0
Task-Assisted Domain Adaptation with Anchor Tasks—0
Attentive Feature Reuse for Multi Task Meta learning—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision—0
Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention—0
Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs—0
Designing Deep Networks for Surface Normal Estimation—0
DiLiGenT-Pi: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond—0
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration—0
Enabling Visual Recognition at Radio Frequency—0
Event-based Shape from Polarization with Spiking Neural Networks—0
Event Fusion Photometric Stereo Network—0
Fast, Accurate and Object Boundary-Aware Surface Normal Estimation from Depth Maps—0
Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence—0
Fine-scale Surface Normal Estimation using a Single NIR Image—0
Image Gradient-Aided Photometric Stereo Network—0
Improving task-specific representation via 1M unlabelled images without any extra knowledge—0
Large-scale Monocular Depth Estimation in the Wild—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Multi-Task Self-Training for Learning General Representations—0
NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors—0
Pano2CAD: Room Layout From A Single Panorama Image—0
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