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Awesome 360 Depth Estimation Awesome

Papers

Single 360 image

Title Authors Venue/Publisher Year Resources
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to $360^{\circ}$ Panoramic Imagery Grégoire Payen de La Garanderie et al. ECCV 2018 [PDF] [CODE]
360D: A dataset and baseline for dense depth estimation from 360 images Antonis Karakottas et al. ECCV 2018 [PDF]
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features Cheng Sun et al. CVPR 2020 [PDF] [CODE]
Deep Depth Estimation on $360^{\circ}$ Images with a Double Quaternion Loss Brandon Yushan Feng et al. 3DV 2020 [PDF]
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery Lei Jin et al. CVPR 2020 [PDF]
Foreground-aware dense depth estimation for 360 images Qi Eng et al. WSCG 2020 [PDF]
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion Fu-En Wang et al. CVPR 2020 [PDF] [CODE]
PADENet: An Efficient and Robust Panoramic Monocular Depth Estimation Network for Outdoor Scenes Keyang Zhou et al. IEEE 2020 [PDF] [CODE]
UniFuse: Unidirectional Fusion for 360 Panorama Depth Estimation Hualie Jiang et al. CVPR 2021 [PDF] [CODE]
Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography Hakdong Kim et al. MDPI 2021 [PDF]
Depth Estimation from a Single Omnidirectional Image using Domain Adaptation Yihong Wu et al. ACM 2021 [PDF]
Pano3D: A Holistic Benchmark and a Solid Baseline for $360^{\circ}$ Depth Estimation Georgios Albanis et al. CVPR 2021 [PDF] [CODE]
SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representation Giovanni Pintore et al. CVPR 2021 [PDF] [CODE]
Improving 360◦ Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning Ilwi Yun et al. AAAI 2022 [PDF] [CODE]
Depth360: Monocular Depth Estimation using Learnable Axisymmetric Camera Model for Spherical Camera Image Noriaki Hirose et al. IROS 2022 [PDF]
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation Chuanqing Zhuang et al. AAAI 2022 [PDF] [CODE]
Rethinking Supervised Depth Estimation for $360^{\circ}$ Panoramic Imagery Lu He et al. CVF 2022 [PDF]
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model Masum Shah Junayed et al. CVF 2022 [PDF] [CODE]
Neural Contourlet Network for Monocular $360^{\circ}$ Depth Estimation Zhijie Shen et al. IEEE TCSVT 2022 [PDF] [CODE]
GLPanoDepth: Global-to-Local Panoramic Depth Estimation Jiayang Bai et al. IEEE TIP 2022 [PDF] [CODE]
360 Depth Estimation in the Wild -- the Depth360 Dataset and the SegFuse Network Qi Feng et al. CVPR 2022 [PDF] [CODE]
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for $360^{\circ}$ Depth Estimation Fu-En Wang et al. 3D Research 2022 [PDF] [CODE]
PanoFormer: Panorama Transformer for Indoor $360^{\circ}$ Depth Estimation Zhijie Shen et al. CVPR 2022 [PDF] [CODE]
OmniFusion: 360 Monocular Depth Estimation via Geometry Aware Fusion Yuyan Li et al. CVPR 2022 [PDF] [CODE]
SphereDepth: Panorama Depth Estimation from Spherical Domain Qingsong Yan et al. CVPR 2022 [PDF] [CODE]
360MonoDepth: High-Resolution $360^{\circ}$ Monocular Depth Estimation Manuel Rey-Area et al. CVPR 2022 [PDF] [CODE]
Distortion-Aware Self-Supervised $360^{\circ}$ Depth Estimation from A Single Equirectangular Projection Image Yuya Hasegawa et al. IEEE 2022 [PDF]
PanoFormer: Panorama Transformer for Indoor $360^{\circ}$ Depth Estimation Zhijie Shen et al. ECCV 2022 [PDF] [CODE]
Learning high-quality depth map from $360^{\circ}$ multi-exposure imagery Chao Xu et al. Springer 2022 [LINK]
Adversarial Mixture Density Network and Uncertainty-based Joint Learning for $360^{\circ}$ Monocular Depth Estimation Ilwi Yun et al. IEEE 2023 [LINK]
High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration Chi-Han Peng et al. WACV 2023 [PDF]
HRDFuse: Monocular 360$^{\circ}$ Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions Hao Ai et al. CVF 2023 [PDF] [CODE]
$\mathcal{S}^2$ Net: Accurate Panorama Depth Estimation on Spherical Surface Meng Li et al. CVPR 2023 [PDF] [CODE]
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth 1 Shariq Farooq Bhat et al. arXiv 2023 [PDF] [CODE]
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation Ilwi Yun et al. ICCV 2023 [PDF] [CODE]
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions Bruno Berenguel-Baeta et al. ICRA 2023 [PDF] [CODE]
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data 1 Lihe Yang et al. CVPR 2024 [PDF] [CODE]
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation Ning-Hsu Wang et al. NeurIPS 2024 [PDF] [CODE]
Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion Hao Ai et al. CVPR 2024 [PDF] [CODE]
Revisiting 360 Depth Estimation with PanoGabor: A New Fusion Perspective Zhijie Shen et al. arXiv 2024 [PDF] [CODE]
MS360: A Multi-Scale Feature Fusion Framework for 360 Monocular Depth Estimation Payal Mohadikar et al. ACM 2024 [PDF]
CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality Wenjie Chang et al. arXiv 2024 [PDF]
360$^{\circ}$ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer Zidong Cao et al. IEEE 2024 [PDF]
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions 1 Fabio Tosi et al. ECCV 2024 [PDF] [CODE]
SGFormer: Spherical Geometry Transformer for 360$^{\circ}$ Depth Estimation Junsong Zhang et al. arXiv 2024 [PDF] [CODE]
PanoDthNet: Depth Estimation Based on Indoor and Outdoor Panoramic Images Jieyuan Cai et al. PRCV 2024 -
CRF360D: Monocular 360 Depth Estimation via Spherical Fully-Connected CRFs Zidong Cao et al. IEEE 2024 [PDF] [CODE]
BGDNet: Background-guided Indoor Panorama Depth Estimation Jiajing Chen et al. IEEE 2024 [PDF]

Multiple 360 images

Title Authors Venue/Publisher Year Resources
Spherical View Synthesis for Self-Supervised 360 Depth Estimation Nikolaos Zioulis et al. 3DV 2019 [PDF] [CODE]
$360^{\circ}$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron Ren Komatsu et al. IROS 2020 [PDF] [CODE]
MODE: Multi-view Omnidirectional Depth Estimation with $360^{\circ}$ Cameras Ming Li et al. ECCV 2022 [PDF] [CODE]
Semi-Supervised 360° Depth Estimation from Multiple Fisheye Cameras with Pixel-Level Selective Loss Jaewoo Lee et al. ICASSP 2022 [PDF] [CODE]
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth Seongyeop Yang et al. Springer 2022 [PDF] [CODE]
SDGE: Stereo Guided Depth Estimation for $360^{\circ}$ Camera Sets Jialei Xu et al. IEEE 2024 [PDF] [CODE]

Footnotes

  1. These are general depth estimation algorithms which work well for 360 images as well. 2 3