active 2025-08-30 → 2025-12-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 114 days from 2025-08-30 to 2025-12-21. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 42 total, peak 10 in a day. Comments: 37 total, peak 12 in a day. Stars: 3 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| yjyoo3312 | 34 | 1 | 0 | 33 |
| arm00284 | 3 | 0 | 0 | 0 |
| dltmdwoOS | 3 | 0 | 0 | 0 |
| qotjwns | 3 | 0 | 0 | 0 |
| barraki72268-sketch | 2 | 0 | 0 | 2 |
| km1214kim | 2 | 0 | 0 | 0 |
| Lee-wonwoo | 2 | 0 | 0 | 0 |
| jihoonrhee | 2 | 0 | 0 | 0 |
| minsoekkim | 2 | 0 | 0 | 0 |
| GWB21 | 2 | 0 | 0 | 1 |
| soonbum0616 | 2 | 0 | 0 | 0 |
| ATHdev1 | 2 | 0 | 0 | 0 |
| eueseok | 2 | 0 | 0 | 1 |
| Jsh03 | 2 | 0 | 0 | 0 |
| KimEunGi01 | 1 | 0 | 0 | 0 |
| hyo0731 | 1 | 0 | 0 | 0 |
| konradkerekes | 1 | 0 | 0 | 0 |
| aioka04108 | 1 | 0 | 0 | 0 |
| desktopminister | 1 | 0 | 0 | 0 |
| ssj1123a | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#109soonbum06162025-12-21 12:37Diffusion Model trend
- Issue#107Lee-wonwoo2025-12-16 12:12Diffusion Model and Gan
- Issue#106Lee-wonwoo2025-12-16 09:40modeling, deployment
- Issue#104josephyumss2025-12-16 09:07What does cross_correlation() return and how does it handle different iamge sizes?
- Issue#101dltmdwoOS2025-12-16 07:33Using the perceptual / semantic compression boundary to design latent spaces
- Issue#100dltmdwoOS2025-12-16 07:30Can the VQ-GAN codebook be reused for downstream tasks
- Issue#99dltmdwoOS2025-12-16 07:28About identity loss weights in CycleGAN
- Issue#97whalswl032025-12-16 06:54Deciding the Noise Removal Steps in Diffusion
- Issue comment#86barraki72268-sketch2025-12-16 01:40Pros and cons of using 2D-aware positional encoding in ViT
- Issue comment#73barraki72268-sketch2025-12-16 01:28Questions about Modern Generative Models in Image Processing
- Issue#91ParkSJ5992025-12-15 22:39Is there Quantitative criteria for detecting generated images?
- Issue#85KimEunGi012025-12-15 16:37Training speed difference between PixelRNN and PixelCNN
- Issue#82minarchive2025-12-15 16:18On the Use of Classical Filters vs. Deep Learning Models in Super-Resolution
- Issue comment#78yjyoo33122025-12-15 15:55Question regarding the CycleGAN diagram in Lecture 11
- Issue comment#71yjyoo33122025-12-15 15:47Perceptual Loss
- Issue comment#69yjyoo33122025-12-15 15:45InfoGAN Loss
- Issue comment#63yjyoo33122025-12-15 15:39GAN D(x)=1/2 meaning
- Issue comment#61yjyoo33122025-12-15 15:35How are the techniques for detecting 'artifacts' (traces) in images generated by generative models evolving?
- Issue comment#60yjyoo33122025-12-15 15:31Question about objective function impact on generative diversity (comparative analysis of diffusion models and GANs)
- Issue#80aioka041082025-12-15 15:27[Question] Mitigating Fourier Domain Artifacts via Spectral Discriminators in Training
- Issue#77ssj1123a2025-12-15 12:44necessity of usage of VAE
- Issue#76lee1026td2025-12-15 12:28Question about the layer level to which style reconstruction loss is applied
- Issue#73t8mbzqhsbn-hash2025-12-15 11:46Questions about Modern Generative Models in Image Processing
- Issue#71Jsh032025-12-15 07:26Perceptual Loss
- Issue#69Jsh032025-12-15 06:59InfoGAN Loss
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.