# Pose Estimation

## Optical Papers

See [Multiple-Camera 3D Motion Tracking with Optical Flow](docs/Multiple-Camera%203D%20Motion%20Tracking%20with%20Optical%20Flow.pdf) first,
to understand what I want to achieve.

See [hzwer/Awesome-Optical-Flow](https://github.com/hzwer/Awesome-Optical-Flow) for more papers.

Following optical flow papers are good starting points.

### Supervised Models

- [FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation](https://github.com/XiaoyuShi97/FlowFormerPlusPlus)
- [FlowFormer: A Transformer Architecture for Optical Flow](https://github.com/drinkingcoder/FlowFormer-Official/)
- [Global Motion Aggregation](https://github.com/zacjiang/GMA)
- [Recurrent All Pairs Field Transforms for Optical Flow](https://github.com/princeton-vl/RAFT)

### Multi-Frame Supervised Models

- [Dense Optical Tracking: Connecting the Dots](https://github.com/16lemoing/dot)
- [VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation](https://github.com/XiaoyuShi97/VideoFlow)