Surface Normal Estimation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 46 papers with code (96 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
  18 Nov 2014 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper we address three different computer vision tasks using a single basic architecture: depth prediction, surface normal estimation, and semantic labeling.
• Maintaining Natural Image Statistics with the Contextual Loss
  13 Mar 2018 3 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 2 pointer-only (licence)
  Maintaining natural image statistics is a crucial factor in restoration and generation of realistic looking images.
• Sapiens: Foundation for Human Vision Models
  22 Aug 2024 2 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  We present Sapiens, a family of models for four fundamental human-centric vision tasks -- 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction.
• iDisc: Internal Discretization for Monocular Depth Estimation
  13 Apr 2023 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Our method sets the new state of the art with significant improvements on NYU-Depth v2 and KITTI, outperforming all published methods on the official KITTI benchmark.
• A Large Scale Homography Benchmark
  20 Feb 2023 2 repositories listed
  We present a large-scale dataset of Planes in 3D, Pi3D, of roughly 1000 planes observed in 10 000 images from the 1DSfM dataset, and HEB, a large-scale homography estimation benchmark leveraging Pi3D.
• DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning
  17 Jun 2022 2 repositories listed
  Multi-task learning has recently emerged as a promising solution for a comprehensive understanding of complex scenes.
• GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
  13 Dec 2020 2 repositories listed
  Note that GeoNet++ is generic and can be used in other depth/normal prediction frameworks to improve the quality of 3D reconstruction and pixel-wise accuracy of depth and surface normals.
• Scaling and Benchmarking Self-Supervised Visual Representation Learning
  3 May 2019 2 repositories listed
  Self-supervised learning aims to learn representations from the data itself without explicit manual supervision.
• Deep Iterative Surface Normal Estimation
  15 Apr 2019 2 repositories listed
  This results in a state-of-the-art surface normal estimator that is robust to noise, outliers and point density variation, preserves sharp features through anisotropic kernels and equivariance through a local…
• Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
  10 Apr 2019 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We observe many continuous output problems in computer vision are naturally contained in closed geometrical manifolds, like the Euler angles in viewpoint estimation or the normals in surface normal estimation.
• LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
  11 Mar 2025 1 repository listed
  While surface normals are widely used to analyse 3D scene geometry, surface normal estimation from LiDAR point clouds remains severely underexplored.
• Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images
  4 Nov 2024 1 repository listed
  Our first innovation is our MTL architecture, which enhances predictions for both tasks by integrating geometric information from depth and surface normal estimation, enabling a deeper understanding of 3D scene…
• Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
  17 Sep 2024 1 repository listed Syntology ran 16 of 17 samples · 1 unverified · 17 pointer-only (licence)
  Recent work showed that large diffusion models can be reused as highly precise monocular depth estimators by casting depth estimation as an image-conditional image generation task.
• Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
  22 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  For metric depth estimation, we show that the key to a zero-shot single-view model lies in resolving the metric ambiguity from various camera models and large-scale data training.
• What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
  10 Mar 2024 1 repository listed Syntology ran 7 of 8 samples · 1 unverified
  Extensive pre-training with large data is indispensable for downstream geometry and semantic visual perception tasks.
• Rethinking Inductive Biases for Surface Normal Estimation
  1 Mar 2024 1 repository listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  Despite the growing demand for accurate surface normal estimation models, existing methods use general-purpose dense prediction models, adopting the same inductive biases as other tasks.
• PolyMaX: General Dense Prediction with Mask Transformer
  9 Nov 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Despite this shift, methods based on the per-pixel prediction paradigm still dominate the benchmarks on the other dense prediction tasks that require continuous outputs, such as depth estimation and surface normal…
• TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
  6 Nov 2023 1 repository listed
  Holistic scene understanding includes semantic segmentation, surface normal estimation, object boundary detection, depth estimation, etc.
• Decodable and Sample Invariant Continuous Object Encoder
  31 Oct 2023 1 repository listed
  In addition, the encoding is decodable, which enables neural networks to regress continuous objects by regressing their encodings.
• FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic Data
  27 Oct 2023 1 repository listed
  Our FOUND approach tackles this, with 4 main contributions: (i) SynFoot, a synthetic dataset of 50, 000 photorealistic foot images, paired with ground truth surface normals and keypoints; (ii) an uncertainty-aware…
• Prompt Guided Transformer for Multi-Task Dense Prediction
  28 Jul 2023 1 repository listed
  Task-conditional architecture offers advantage in parameter efficiency but falls short in performance compared to state-of-the-art multi-decoder methods.
• Independent Component Alignment for Multi-Task Learning
  30 May 2023 1 repository listed
  In this work, we propose using a condition number of a linear system of gradients as a stability criterion of an MTL optimization.
• D2NT: A High-Performing Depth-to-Normal Translator
  24 Apr 2023 1 repository listed
  Surface normal holds significant importance in visual environmental perception, serving as a source of rich geometric information.
• High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
  21 Oct 2022 1 repository listed
  Fine-detailed reconstructions are in high demand in many applications.
• Multi-Task Meta Learning: learn how to adapt to unseen tasks
  13 Oct 2022 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  In particular, it focuses simultaneous learning of multiple tasks, an element of MTL and promptly adapting to new tasks, a quality of meta learning.
• Perspective Phase Angle Model for Polarimetric 3D Reconstruction
  20 Jul 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assumption.
• Egocentric Scene Understanding via Multimodal Spatial Rectifier
  14 Jul 2022 1 repository listed
  We present a multimodal spatial rectifier that stabilizes the egocentric images to a set of reference directions, which allows learning a coherent visual representation.
• MulT: An End-to-End Multitask Learning Transformer
  17 May 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  At the heart of our approach is a shared attention mechanism modeling the dependencies across the tasks.
• GRIT: General Robust Image Task Benchmark
  28 Apr 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Computer vision models excel at making predictions when the test distribution closely resembles the training distribution.
• InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding
  15 Mar 2022 1 repository listed Syntology ran 2 of 4 samples · 2 unverified
  Multi-task dense scene understanding is a thriving research domain that requires simultaneous perception and reasoning on a series of correlated tasks with pixel-wise prediction.

Syntology lines on 15 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.