Main articles I read or plan to read, as well as useful links.

- read - glance - plan to read

https://paperswithcode.com/task/3d-human-pose-estimation - comparison

https://github.com/trumDog/3d-human-pose-estimation - more information and articles

1. 3D human pose estimation in video with temporal convolutions and semi-supervised training (cvpr2019)

   [paper][code] [project]

2. 3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training (aaai2020)

   [paper] [project]

3. GAST-Net: Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (arXiv2020)

   [paper] [code] [project]

4. Motion Guided 3D Pose Estimation from Videos (eccv2020)

   [paper]

1. Learning Monocular 3D Human Pose Estimation from Multi-view Images (CVPR2018)

   [paper][code][project]

[downloader1][downloader2]

https://paperswithcode.com/sota/pose-tracking-on-posetrack2017 - comparison https://posetrack.net/leaderboard.php - main liderboard

1. 15 Keypoints Is All You Need (cvpr 2020)

   [paper] [code]

2. LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

   [paper] [code]

3. Pose Flow: Efficient Online Pose Tracking

   [paper] [code]

4. Efficient Online Multi-Person 2D Pose Tracking with (cvpr 2019) Recurrent Spatio-Temporal Affinity Fields

   [paper] [code]

5. Simple Baselines for Human Pose Estimation and Tracking

   [paper] [code]

6. Combining detection and tracking for human pose estimation in videos

   [paper] [code]

7. BlazePose: On-device Real-time Body Pose tracking (google 2020)

   [paper] [code]

1. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN) (cvpr 2020)

   [paper] [code]

2. Unsupervised Image-to-Image Translation Networks (UNIT)

   [paper] [code]

3. Multimodal Unsupervised Image-to-Image Translation (MUNIT)

   [paper] [code]

4. Unsupervised Attention-guided Image-to-Image Translation

   [paper] [code]

5. U-GAT-IT: UNSUPERVISED GENERATIVE ATTENTIONAL NETWORKS WITH ADAPTIVE LAYERINSTANCE NORMALIZATION FOR IMAGE TO-IMAGE TRANSLATION

   [paper] [code]

6. Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

   [paper] [code]

https://github.com/TheDetial/Super-Resolution - more articles

1. High-Quality 3D Reconstruction With Depth Super-Resolution and Completion

   [paper] [code]

2. Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution

   [paper] [code]

3. Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network

   [paper] [code]

4. Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution

   [paper] [code]

5. Feedback Network for Image Super-Resolution
   [paper] [code]

1. Deep Depth Completion of a Single RGB-D Image

   [paper] [code]

2. Learning Guided Convolutional Network for Depth Completion

   [paper] [code]

1. To learn image super-resolution, use a GAN to learn how to do image degradation first [paper] [code]

1. YOLACT++ Better Real-time Instance Segmentation

   [paper] [code]

2. Deep High-Resolution Representation Learning for Human Pose Estimation

   [paper] [code]

3. Deep Surface Normal Estimation with Hierarchical RGB-D Fusion

   [paper] [code]

4. Deep Image Prior

   [paper] [code]

5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

   [paper] [code]

6. Taming Transformers for High-Resolution Image Synthesis

   [paper] [code]

7. Densely Connected Convolutional Networks

   [paper] [code]

1. Transformers understanding and with code
2. How GPT3 Works - Visualizations and Animations, The Illustrated BERT, ELMo, and co.
3. Transformers pythorch
4. GAN series
5. Object detection
6. Only Numpy: Implementing Convolutional Neural Network using Numpy
7. Быстрая свертка по методу Шмуэля Винограда
8. Вычислительная фотография
9. Лекции NLA
10. ML, DL and other lectures
11. Understanding the backward pass through Batch Normalization Layer
12. Collection of the best ML resources by topic
13. The Entire Computer Science Curriculum in 1000 YouTube Videos
14. GCN understanding

1. How to prevent Google Colab from disconnecting
2. Python graph gallery
3. Nice board for roadmap