alimd94/DiQP
[WACV 2025] "Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression"
This project helps video professionals restore the visual quality of ultra-high-resolution (8K) video footage that has been degraded by digital compression. You provide compressed 8K video frames, and it outputs significantly enhanced, cleaner versions of those frames, reducing artifacts and improving detail. Anyone working with high-resolution video that has been compressed using common codecs like AV1 or HEVC, such as video editors, broadcasters, or archivists, would find this useful.
No commits in the last 6 months.
Use this if you need to recover the visual quality of 8K video footage that has suffered from compression artifacts due to codecs like AV1 or HEVC.
Not ideal if you are working with standard definition, HD, or 4K video, or if your video degradation is due to factors other than codec compression.
Stars
19
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 14, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/alimd94/DiQP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cswry/SeeSR
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
JJLibra/SALAD-Pan
🤗 Official implementation for "SALAD-Pan: Sensor-Agnostic Latent Adaptive Diffusion for...
open-mmlab/mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
Janspiry/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
hanjq17/Spectrum
[CVPR 2026] Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration