| Adversarial Mixture Density Network and Uncertainty-based Joint Learning for $360^{\circ}$ Monocular Depth Estimation |
IEEE |
2023 |
[LINK] |
| High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration |
WACV |
2023 |
[PDF] |
| HRDFuse: Monocular 360$^{\circ}$ Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions |
CVF |
2023 |
[PDF] [CODE]
|
|
$\mathcal{S}^2$ Net: Accurate Panorama Depth Estimation on Spherical Surface |
CVPR |
2023 |
[PDF] [CODE]
|
| ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth 1
|
arXiv |
2023 |
[PDF] [CODE]
|
| EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation |
ICCV |
2023 |
[PDF] [CODE]
|
| FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions |
ICRA |
2023 |
[PDF] [CODE]
|
| Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data 1
|
CVPR |
2024 |
[PDF] [CODE]
|
| Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation |
NeurIPS |
2024 |
[PDF] [CODE]
|
| Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion |
CVPR |
2024 |
[PDF] [CODE]
|
| Revisiting 360 Depth Estimation with PanoGabor: A New Fusion Perspective |
arXiv |
2024 |
[PDF] [CODE]
|
| MS360: A Multi-Scale Feature Fusion Framework for 360 Monocular Depth Estimation |
ACM |
2024 |
[PDF] |
| CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality |
arXiv |
2024 |
[PDF] |
| 360$^{\circ}$ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer |
IEEE |
2024 |
[PDF] |
| Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions 1
|
ECCV |
2024 |
[PDF] [CODE]
|
| SGFormer: Spherical Geometry Transformer for $360^{\circ}$ Depth Estimation |
arXiv |
2024 |
[PDF] [CODE]
|
| PanoDthNet: Depth Estimation Based on Indoor and Outdoor Panoramic Images |
PRCV |
2024 |
[LINK] |
| CRF360D: Monocular 360 Depth Estimation via Spherical Fully-Connected CRFs |
IEEE |
2024 |
[PDF] [CODE]
|
| BGDNet: Background-guided Indoor Panorama Depth Estimation |
IEEE |
2024 |
[PDF] |
| Geometry-Aware Self-Supervised Indoor $360^{o}$ Depth Estimation via Asymmetric Dual-Domain Collaborative Learning |
IEEE |
2025 |
[LINK] |
| DA $^{2}$: Depth Anything in Any Direction |
arXiv |
2025 |
[PDF] [CODE]
|
| ImmersiveDepth: A Hybrid Approach for Monocular Depth Estimation from 360 Images Using Tangent Projection and Multi-Model Integration |
IEEE |
2025 |
[PDF] |
| RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization |
NeurIPS |
2025 |
[PDF] [CODE]
|
| CAPDepth: 360 Monocular Depth Estimation by Content-Aware Projection |
MDPI |
2025 |
[PDF] |
| OmniDiffusion: Reformulating 360 Monocular Depth Estimation Using Semantic and Surface Normal Conditioned Diffusion |
IEEE |
2025 |
[PDF] |
| PanDA : Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation |
CVPR |
2025 |
[PDF] [CODE]
|
| SN360: Semantic and Surface Normal Cascaded Multi-Task 360 Monocular Depth Estimation |
IEEE |
2025 |
[LINK] |
| ST $^{2}$ 360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation |
NeurIPS |
2025 |
[PDF] |
| Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera |
CVPR |
2025 |
[PDF] [CODE]
|