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Surface Normal Estimation

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Showing 1–50 of 96 papers

TitleStatusHype
Probabilistic Online Event Downsampling—0
Robust and Real-time Surface Normal Estimation from Stereo Disparities using Affine Transformations—0
NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors—0
LiSu: A Dataset and Method for LiDAR Surface Normal EstimationCode1
Image Gradient-Aided Photometric Stereo Network—0
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° ImagesCode0
Fine-Tuning Image-Conditional Diffusion Models is Easier than You ThinkCode4
Sapiens: Foundation for Human Vision ModelsCode9
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration—0
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal—0
Enabling Visual Recognition at Radio Frequency—0
PanoNormal: Monocular Indoor 360° Surface Normal Estimation—0
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationCode7
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning—0
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?Code3
Rethinking Inductive Biases for Surface Normal EstimationCode4
Surface Normal Estimation with Transformers—0
Event-based Shape from Polarization with Spiking Neural Networks—0
RFTrans: Leveraging Refractive Flow of Transparent Objects for Surface Normal Estimation and Manipulation—0
PolyMaX: General Dense Prediction with Mask TransformerCode0
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene UnderstandingCode1
Decodable and Sample Invariant Continuous Object EncoderCode0
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic DataCode1
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Large-scale Monocular Depth Estimation in the Wild—0
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation—0
Independent Component Alignment for Multi-Task LearningCode0
Pointersect: Neural Rendering with Cloud-Ray Intersection—0
D2NT: A High-Performing Depth-to-Normal TranslatorCode1
iDisc: Internal Discretization for Monocular Depth EstimationCode3
Event Fusion Photometric Stereo Network—0
A Large Scale Homography BenchmarkCode2
Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence—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
A Large-Scale Homography Benchmark—0
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDFCode1
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
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
Egocentric Scene Understanding via Multimodal Spatial RectifierCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
MulT: An End-to-End Multitask Learning TransformerCode1
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