Papers › Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video...
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression
Ali Mollaahmadi Dehaghi, Reza Razavi, Mohammad Moshirpour
In this paper, we introduce DiQP; a novel Transformer-Diffusion model for restoring 8K video quality degraded by codec compression. To the best of our knowledge, our model is the first to consider restoring the artifacts introduced by various codecs (AV1, HEVC) by Denoising Diffusion without considering additional noise. This approach allows us to model the complex, non-Gaussian nature of compression artifacts, effectively learning to reverse the degradation. Our architecture combines the power of Transformers to capture long-range dependencies with an enhanced windowed mechanism that preserves spatiotemporal context within groups of pixels across frames. To further enhance restoration, the model incorporates auxiliary "Look Ahead" and "Look Around" modules, providing both future and surrounding frame information to aid in reconstructing fine details and enhancing overall visual quality. Extensive experiments on different datasets demonstrate that our model outperforms state-of-the-art methods, particularly for high-resolution videos such as 4K and 8K, showcasing its effectiveness in restoring perceptually pleasing videos from highly compressed sources.
Code
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Tasks
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Video Restoration | SEPE 8K | DiQP on AV1 with QP 255 | Average PSNR (dB) | 34.868 | #1 of 2 | Archive leaderboard | report |
| Video Restoration | SEPE 8K | DiQP on HVEC with QP 51 | Average PSNR (dB) | 34.197 | #2 of 2 | Archive leaderboard | report |
| Video Restoration | UVG | DiQP on AV1 with QP 255 | Average PSNR (dB) | 32.551 | #1 of 2 | Archive leaderboard | report |
| Video Restoration | UVG | DiQP on HVEC with QP 51 | Average PSNR (dB) | 31.965 | #2 of 2 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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