| Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation | Sep 20, 2021 | DecoderPrediction | CodeCode Available | 1 | 5 |
| Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction | Mar 22, 2021 | DecoderDepth Estimation | CodeCode Available | 1 | 5 |
| LiSu: A Dataset and Method for LiDAR Surface Normal Estimation | Mar 11, 2025 | Autonomous DrivingDomain Adaptation | CodeCode Available | 1 | 5 |
| TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding | Nov 6, 2023 | Boundary DetectionDepth Estimation | CodeCode Available | 1 | 5 |
| MulT: An End-to-End Multitask Learning Transformer | May 17, 2022 | DecoderDepth Estimation | CodeCode Available | 1 | 5 |
| Generic 3D Representation via Pose Estimation and Matching | Oct 23, 2017 | Camera Pose EstimationObject | CodeCode Available | 0 | 5 |
| Independent Component Alignment for Multi-Task Learning | May 30, 2023 | Depth EstimationInstance Segmentation | CodeCode Available | 0 | 5 |
| Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres | Apr 10, 2019 | 3D Rotation Estimationregression | CodeCode Available | 0 | 5 |
| Deep Iterative Surface Normal Estimation | Apr 15, 2019 | Deep LearningSurface Normal Estimation | CodeCode Available | 0 | 5 |
| Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture | Nov 18, 2014 | Depth EstimationDepth Prediction | CodeCode Available | 0 | 5 |
| Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection | Dec 1, 2018 | Depth EstimationDepth Prediction | CodeCode Available | 0 | 5 |
| PixelNet: Representation of the pixels, by the pixels, and for the pixels | Feb 21, 2017 | DiversityEdge Detection | CodeCode Available | 0 | 5 |
| Multi-Task Meta Learning: learn how to adapt to unseen tasks | Oct 13, 2022 | Depth EstimationEdge Detection | CodeCode Available | 0 | 5 |
| PolyMaX: General Dense Prediction with Mask Transformer | Nov 9, 2023 | Depth EstimationMonocular Depth Estimation | CodeCode Available | 0 | 5 |
| Scaling and Benchmarking Self-Supervised Visual Representation Learning | May 3, 2019 | Benchmarkingobject-detection | CodeCode Available | 0 | 5 |
| Object Pose Estimation using Mid-level Visual Representations | Mar 2, 2022 | 3D ReconstructionObject | CodeCode Available | 0 | 5 |
| Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images | Nov 4, 2024 | Multi-Task LearningScene Understanding | CodeCode Available | 0 | 5 |
| Decodable and Sample Invariant Continuous Object Encoder | Oct 31, 2023 | ObjectSurface Normal Estimation | CodeCode Available | 0 | 5 |
| FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image | Mar 29, 2019 | 3D geometrySurface Normal Estimation | CodeCode Available | 0 | 5 |
| Deep Surface Normal Estimation with Hierarchical RGB-D Fusion | Apr 6, 2019 | Scene UnderstandingSurface Normal Estimation | CodeCode Available | 0 | 5 |
| Maintaining Natural Image Statistics with the Contextual Loss | Mar 13, 2018 | Image Super-ResolutionSuper-Resolution | CodeCode Available | 0 | 5 |
| Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks | Jun 17, 2022 | Depth EstimationImage Generation | —Unverified | 0 | 0 |
| Unsupervised Learning of Visual Representations using Videos | May 4, 2015 | Surface Normal EstimationTriplet | —Unverified | 0 | 0 |
| VisualEchoes: Spatial Image Representation Learning through Echolocation | May 4, 2020 | Depth EstimationMonocular Depth Estimation | —Unverified | 0 | 0 |
| VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines | Jun 1, 2020 | Depth EstimationSurface Normal Estimation | —Unverified | 0 | 0 |
