Team Objective

Move along PSNR - Per curve

1. Undergrad's tips and tricks:

• 1. [ ] Mean shift per patch
• 2. [ ] RGB shuffle

2. DownMSE loss

3. Architecture adjustment

4. Laplace form

5. Handle faces directly

Overall Progress

08/21 Tuesday:

A. RGBshuffle

• 1. [x] Fix directory saving for model testing
• 2. [x] Implement rgb random shuffle, random in channels
• 3. [x] Test & confirm the shuffling
• 4. [x] save the shuffle img patches for sanity check
     • pre-shuffle & post-shuffle for both lr, hr
• 5. [x] Check the rgb training results, compare with the previous results
• 6. [ ] understand the function __get_patch()
• 7. [ ] Analysis and understand RGB results difference in paper

  Mean shift per patch

  B. DownMSE loss

• 1. [ ] Save the LR images from SR, outside program for sanity check
     • Decide to use BiCubic Downsampling
• 2. [ ] Integrate to program, bicubic down-sampling
• 3. [ ] Implement downMSE

  C. others:

• 1. [ ] Display previous running results F_per vs. PSNR score
• 2. [ ] Reply Cynthia
• 3. [ ] Draft office desk email

  Readings & theoretical analysis

• 1. [ ] Read about PSNR theory
• 2. [ ] Analysis GAN loss in different scalers

• save and load the approximator

PDSR Prior work

Submission to the PIRM2018 Super Resolution Contest

The models are to big to fit on github, so they can be found here: https://drive.google.com/drive/folders/13eSV6d5cIFG67MMZ1by54uJcaExd6FHK?usp=sharing