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Surface Normal Estimation

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Showing 1–50 of 96 papers

TitleStatusHype
Sapiens: Foundation for Human Vision ModelsCode9
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationCode7
Fine-Tuning Image-Conditional Diffusion Models is Easier than You ThinkCode4
Rethinking Inductive Biases for Surface Normal EstimationCode4
iDisc: Internal Discretization for Monocular Depth EstimationCode3
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?Code3
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
A Large Scale Homography BenchmarkCode2
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
LiSu: A Dataset and Method for LiDAR Surface Normal EstimationCode1
MulT: An End-to-End Multitask Learning TransformerCode1
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
Pixel-wise Attentional Gating for Parsimonious Pixel LabelingCode1
Transformer-Based Attention Networks for Continuous Pixel-Wise PredictionCode1
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D ScansCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Egocentric Scene Understanding via Multimodal Spatial RectifierCode1
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic DataCode1
Surface Normal Estimation of Tilted Images via Spatial RectifierCode1
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal EstimationCode1
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry EstimationCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
GRIT: General Robust Image Task BenchmarkCode1
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDFCode1
HoliCity: A City-Scale Data Platform for Learning Holistic 3D StructuresCode1
Human Pose and Shape Estimation from Single Polarization ImagesCode1
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene UnderstandingCode1
D2NT: A High-Performing Depth-to-Normal TranslatorCode1
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
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