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Surface Normal Estimation

Papers

Showing 125 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
Rethinking Inductive Biases for Surface Normal EstimationCode4
Fine-Tuning Image-Conditional Diffusion Models is Easier than You ThinkCode4
iDisc: Internal Discretization for Monocular Depth EstimationCode3
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?Code3
A Large Scale Homography BenchmarkCode2
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
Pixel-wise Attentional Gating for Parsimonious Pixel LabelingCode1
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
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D ScansCode1
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
Human Pose and Shape Estimation from Single Polarization ImagesCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
GRIT: General Robust Image Task BenchmarkCode1
D2NT: A High-Performing Depth-to-Normal TranslatorCode1
Egocentric Scene Understanding via Multimodal Spatial RectifierCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
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
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic DataCode1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
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