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Surface Normal Estimation

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Showing 51–96 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
VisualEchoes: Spatial Image Representation Learning through Echolocation—0
Task-Assisted Domain Adaptation with Anchor Tasks—0
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network—0
Scaling and Benchmarking Self-Supervised Visual Representation LearningCode0
Deep Iterative Surface Normal EstimationCode0
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-SpheresCode0
Deep Surface Normal Estimation with Hierarchical RGB-D FusionCode0
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB ImageCode0
Self-supervised Learning for Single View Depth and Surface Normal Estimation—0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Maintaining Natural Image Statistics with the Contextual LossCode0
Generic 3D Representation via Pose Estimation and MatchingCode0
Transitive Invariance for Self-supervised Visual Representation Learning—0
PixelNet: Representation of the pixels, by the pixels, and for the pixelsCode0
Pano2CAD: Room Layout From A Single Panorama Image—0
PixelNet: Towards a General Pixel-level Architecture—0
Fine-scale Surface Normal Estimation using a Single NIR Image—0
Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs—0
Unsupervised Learning of Visual Representations using Videos—0
Designing Deep Networks for Surface Normal Estimation—0
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional ArchitectureCode0
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