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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
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
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
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
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D ScansCode1
Egocentric Scene Understanding via Multimodal Spatial RectifierCode1
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic DataCode1
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
Pixel-wise Attentional Gating for Parsimonious Pixel LabelingCode1
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
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry EstimationCode1
D2NT: A High-Performing Depth-to-Normal TranslatorCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
LiSu: A Dataset and Method for LiDAR Surface Normal EstimationCode1
Surface Normal Estimation of Tilted Images via Spatial RectifierCode1
Transformer-Based Attention Networks for Continuous Pixel-Wise PredictionCode1
MulT: An End-to-End Multitask Learning TransformerCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Decodable and Sample Invariant Continuous Object EncoderCode0
Deep Iterative Surface Normal EstimationCode0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
Maintaining Natural Image Statistics with the Contextual LossCode0
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB ImageCode0
Scaling and Benchmarking Self-Supervised Visual Representation LearningCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Deep Surface Normal Estimation with Hierarchical RGB-D FusionCode0
Generic 3D Representation via Pose Estimation and MatchingCode0
PixelNet: Representation of the pixels, by the pixels, and for the pixelsCode0
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° ImagesCode0
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional ArchitectureCode0
Object Pose Estimation using Mid-level Visual RepresentationsCode0
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-SpheresCode0
Surface Normal Estimation with Transformers0
Transitive Invariance for Self-supervised Visual Representation Learning0
TransNet: Category-Level Transparent Object Pose Estimation0
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks0
Unsupervised Learning of Visual Representations using Videos0
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