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Surface Normal Estimation

Papers

Showing 150 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
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
A Large Scale Homography BenchmarkCode2
Pixel-wise Attentional Gating for Parsimonious Pixel LabelingCode1
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
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic DataCode1
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal 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
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry EstimationCode1
D2NT: A High-Performing Depth-to-Normal TranslatorCode1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
Surface Normal Estimation of Tilted Images via Spatial RectifierCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
Transformer-Based Attention Networks for Continuous Pixel-Wise PredictionCode1
LiSu: A Dataset and Method for LiDAR Surface Normal EstimationCode1
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene UnderstandingCode1
MulT: An End-to-End Multitask Learning TransformerCode1
Generic 3D Representation via Pose Estimation and MatchingCode0
Independent Component Alignment for Multi-Task LearningCode0
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-SpheresCode0
Deep Iterative Surface Normal EstimationCode0
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional ArchitectureCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
PixelNet: Representation of the pixels, by the pixels, and for the pixelsCode0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
PolyMaX: General Dense Prediction with Mask TransformerCode0
Scaling and Benchmarking Self-Supervised Visual Representation LearningCode0
Object Pose Estimation using Mid-level Visual RepresentationsCode0
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° ImagesCode0
Decodable and Sample Invariant Continuous Object EncoderCode0
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB ImageCode0
Deep Surface Normal Estimation with Hierarchical RGB-D FusionCode0
Maintaining Natural Image Statistics with the Contextual LossCode0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks0
Unsupervised Learning of Visual Representations using Videos0
VisualEchoes: Spatial Image Representation Learning through Echolocation0
VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines0
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