Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume

A list of recent monocular depth estimation work, inspired by awesome-computer-vision. The list is mainly focusing on recent work after 2020.

1. Monocular Depth (Fully Supervised) · 2. Monocular Depth (Semi- / Un-Supervised) · 3. Depth Completion/Super-resolution · 4. Depth Fusion · 5. Depth Dataset · 6.

Awesome Monocular 3D detection. Contribute to BigTeacher-777/Awesome ... Depth Estimation for Monocular 3D Detection and Tracking [ICRA2022]; [Time3D] ...

Foreground-aware dense depth estimation for 360 images, Qi Eng et al. WSCG ; BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion, Fu-En Wang et al.

This is a list of published papers/open source codes/useful and interesting projects for Depth Estimation and other related fields.

monocular depth based on video(sfm). Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe In ...

A curated list of awesome robust depth estimation papers - hitcslj/awesome-robust-depth-estimation. ... Depth Estimation from Monocular Images and Sparse Radar ...

A list of awesome Depth Estimation papers, datasets and tutorials. paper. Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields.

We propose a method that can generate highly detailed high-resolution depth estimations from a single image.