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Surface Normal Estimation

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Showing 51–75 of 96 papers

TitleStatusHype
Large-scale Monocular Depth Estimation in the Wild—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Multi-Task Self-Training for Learning General Representations—0
NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors—0
Pano2CAD: Room Layout From A Single Panorama Image—0
PanoNormal: Monocular Indoor 360° Surface Normal Estimation—0
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network—0
SDA-SNE: Spatial Discontinuity-Aware Surface Normal Estimation via Multi-Directional Dynamic Programming—0
Self-supervised Learning for Single View Depth and Surface Normal Estimation—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
Single Image Depth Estimation: An Overview—0
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection—0
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal—0
Streaming Self-Training via Domain-Agnostic Unlabeled Images—0
Surface Normal Estimation with Transformers—0
Transitive Invariance for Self-supervised Visual Representation Learning—0
TransNet: Category-Level Transparent Object Pose Estimation—0
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Unsupervised Learning of Visual Representations using Videos—0
VisualEchoes: Spatial Image Representation Learning through Echolocation—0
VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines—0
PixelNet: Towards a General Pixel-level Architecture—0
Pointersect: Neural Rendering with Cloud-Ray Intersection—0
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