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# System prepended metadata

title: camera pose/depth paper list

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# camera pose/depth paper list
# depth review article
 - Monocular depth estimation based on deep learning: An overview(2020)
 - Deep learning for monocular depth estimation: A review(2021)
# perspective camera
## supervised
    - Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
       - 用很多不同的dataset 包含stereo movie 
       - depth model for single image
       - 提出針對 dataset 間 depth 尺度不同的解法 (算 loss 時先校正 depth scale)
## Unsupervised 
### depth+ego motion
    - Unsupervised Learning of Depth and Ego-Motion from Video (CVPR 2017)
        - with phtotometric loss
        - start of unsupervised method
        - https://github.com/tinghuiz/SfMLearner
        - Jointly train pose net and depth net
    - Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
        - Joint train pose net and depth net
        - Occlusion awarness & forground/ background recognition 
    - Unsupervised Scale-consistent Depth Learning from Video(2021)
        - introducing geometric loss (the one Cindy's stablization paper used)
        - this geometric loss will sometimes fail and regress to homogeneous depthmap
        - https://github.com/JiawangBian/SC-SfMLearner-Release
    - Monodepth2: Digging Into Self-Supervised Monocular Depth Estimation
        - 之前Cindy報過
        - Per-Pixel Minimum Reprojection Loss
            - delt with eocclusion
        - Auto-Masking Stationary Pixels
### hybrid method
    - Consistent Video Depth Estimation
        - use geometric loss to finetune sfm path
    - Robust Consistent Video Depth Estimation
        - built on "Consistent Video Depth Estimation"
        - Pose and Depth with Flexible Deformation(the transformation can be different between each pixels between frames)
            - blurry depth
        - depth filter
            - bring back detail of depth

### Visual Odometry
    - D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
    - DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
# Temporal consistency
- Enforcing Temporal Consistency in Video Depth Estimation (ICCV 2021)
    
# 360 camera
## mapping of 360 info
    - Sphere mapping for feature extraction from 360° fish-eye captures (我覺得這好像滿重要ㄉ)
- 360 Depth Estimation in the Wild - the Depth360 Dataset and the SegFuse Network (VR 2022)
    - 用網路上360影片 optical flow, camera pose 做的 depth，也有給 Net
    
# Tutorial
- Introduction to Camera Pose Estimation with Deep Learning (CVPR 2019)
    - https://arxiv.org/pdf/1907.05272.pdf


