Surface Normals Estimation

Surface normal estimation deals with the task of predicting the surface orientation of the objects present inside a scene. Refer to Designing Deep Networks for Surface Normal Estimation (Wang et al.) to get a good overview of several design choices that led to the development of a CNN-based surface normal estimator.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 31–39 of 39 papers

Title	Date	Tasks	Status	Hype
BlenderProc	Oct 25, 2019	3D Object RecognitionDepth Image Estimation	CodeCode Available	2
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation	Oct 6, 2019	3D geometryDepth Completion	CodeCode Available	0
360^o Surface Regression with a Hyper-Sphere Loss	Sep 16, 2019	regressionSurface Normals Estimation	CodeCode Available	0
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction	Jun 16, 2019	Semantic SegmentationSurface Normals Estimation	CodeCode Available	0
Creative Flow+ Dataset	Jun 1, 2019	3D Character Animation From A Single PhotoDepth Estimation	CodeCode Available	0
Deep Iterative Surface Normal Estimation	Apr 15, 2019	Deep LearningSurface Normal Estimation	CodeCode Available	0
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres	Apr 10, 2019	3D Rotation Estimationregression	CodeCode Available	0
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks	Dec 3, 2018	Mixture-of-ExpertsSurface Normals Estimation	CodeCode Available	0
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations	Sep 13, 2018	Depth EstimationGPU	CodeCode Available	0

Show:10 25 50

← PrevPage 4 of 4Next →

All datasets PCPNet Stanford-ORB NYU-Depth V2 ScanNetV2 IBims-1 NYU-Depth V2 Surface Normals PASCAL Context Taskonomy

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Nesti-Net	RMSE	12.41	—	Unverified
2	Iter-Net	RMSE	11.84	—	Unverified
3	DeepFit	RMSE	11.8	—	Unverified
4	AdaFit	RMSE	10.76	—	Unverified
5	GraphFit	RMSE	10.26	—	Unverified
6	NeAF	RMSE	10.22	—	Unverified
7	Hsurf	RMSE	10.11	—	Unverified
8	MSECNet	RMSE	9.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NeRFactor	Cosine Distance	0.29	—	Unverified
2	NeRD	Cosine Distance	0.28	—	Unverified
3	PhySG	Cosine Distance	0.17	—	Unverified
4	NVDiffRec	Cosine Distance	0.06	—	Unverified
5	Neural-PBIR	Cosine Distance	0.06	—	Unverified
6	InvRender	Cosine Distance	0.06	—	Unverified
7	NVDiffRecMC	Cosine Distance	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Metric3Dv2(L, FT)	% < 11.25	68.8	—	Unverified
2	PolyMaX(ConvNeXt-L)	% < 11.25	65.66	—	Unverified
3	iDisc	% < 11.25	63.8	—	Unverified
4	Bae et al.	% < 11.25	62.2	—	Unverified
5	Marigold + E2E FT(zero-shot)	% < 11.25	61.4	—	Unverified
6	Floors are Flat	% < 11.25	59.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Metric3Dv2 (g2, In-domain)	% < 11.25	77.8	—	Unverified
2	Bae et al.	% < 11.25	71.1	—	Unverified
3	Floors are Flat	% < 11.25	50.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Marigold + E2E FT(zero-shot)	% < 11.25	69.9	—	Unverified
2	Metric3Dv2(g2, ZS)	% < 11.25	69.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSN	RMSE	12.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InvPT	Mean Angle Error	14.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	X-TC (Cross-Task Consistency)	L1 error	4.8	—	Unverified