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Surface Normal Estimation

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Showing 51–75 of 96 papers

TitleStatusHype
Event Fusion Photometric Stereo Network—0
Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence—0
A Large-Scale Homography Benchmark—0
CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision—0
DiLiGenT-Pi: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo—0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
Fast, Accurate and Object Boundary-Aware Surface Normal Estimation from Depth Maps—0
TransNet: Category-Level Transparent Object Pose Estimation—0
SDA-SNE: Spatial Discontinuity-Aware Surface Normal Estimation via Multi-Directional Dynamic Programming—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Object Pose Estimation using Mid-level Visual RepresentationsCode0
Multi-Task Self-Training for Learning General Representations—0
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection—0
Single Image Depth Estimation: An Overview—0
Streaming Self-Training via Domain-Agnostic Unlabeled Images—0
Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention—0
What is Learned in Deep Uncalibrated Photometric Stereo?—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
Improving task-specific representation via 1M unlabelled images without any extra knowledge—0
Attentive Feature Reuse for Multi Task Meta learning—0
VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines—0
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