OP4KSR enables efficient one-step 4K super-resolution without patches by adapting Flux with RoPE rescaling and periodicity loss to suppress artifacts.
arXiv.orgabs/2508.08227(2025) 2, 7, 8
6 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
IDaS-SR performs one-step real-world super-resolution by predicting severity-aware timesteps to anchor low-quality latents and using continuous trajectory steering to balance structure and texture generation.
Allo{SR}^2 rectifies one-step super-resolution trajectories with allomorphic generative flows via SNR initialization, velocity supervision, and self-adversarial matching to deliver state-of-the-art fidelity and realism.
The NTIRE 2026 mobile real-world image super-resolution challenge received 16 valid submissions and overviews methods balancing image quality with mobile execution speed.
The NTIRE 2026 ×4 super-resolution challenge benchmarks 31 teams on bicubic-downsampled images using PSNR for the restoration track and perceptual scores for the realism track.
The NTIRE 2026 real-world face restoration challenge report details outcomes from 9 valid team submissions advancing perceptual quality and identity consistency in degraded face images.
citing papers explorer
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OP4KSR: One-Step Patch-Free 4K Super-Resolution with Periodic Artifact Suppression
OP4KSR enables efficient one-step 4K super-resolution without patches by adapting Flux with RoPE rescaling and periodicity loss to suppress artifacts.
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Bridging Restoration and Generation Manifolds in One-Step Diffusion for Real-World Super-Resolution
IDaS-SR performs one-step real-world super-resolution by predicting severity-aware timesteps to anchor low-quality latents and using continuous trajectory steering to balance structure and texture generation.
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Allo{SR}$^2$: Rectifying One-Step Super-Resolution to Stay Real via Allomorphic Generative Flows
Allo{SR}^2 rectifies one-step super-resolution trajectories with allomorphic generative flows via SNR initialization, velocity supervision, and self-adversarial matching to deliver state-of-the-art fidelity and realism.
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The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
The NTIRE 2026 mobile real-world image super-resolution challenge received 16 valid submissions and overviews methods balancing image quality with mobile execution speed.
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The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview
The NTIRE 2026 ×4 super-resolution challenge benchmarks 31 teams on bicubic-downsampled images using PSNR for the restoration track and perceptual scores for the realism track.
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The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results
The NTIRE 2026 real-world face restoration challenge report details outcomes from 9 valid team submissions advancing perceptual quality and identity consistency in degraded face images.