FlowSR reformulates SR as a rectified flow and applies consistency distillation with HR regularization plus fast-slow scheduling to enable single-step high-quality super-resolution.
Image super- resolution via iterative refinement.TPAMI
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Diffusion models have an SNR-timestep mismatch during inference that the authors mitigate with per-frequency differential correction, raising generation quality across IDDPM, ADM, DDIM and others.
The NTIRE 2026 challenge establishes a benchmark for x4 super-resolution of remote sensing infrared images, with 13 teams submitting valid methods evaluated on a dedicated dataset.
The NTIRE 2026 mobile real-world image super-resolution challenge received 16 valid submissions and overviews methods balancing image quality with mobile execution speed.
citing papers explorer
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Fast Image Super-Resolution via Consistency Rectified Flow
FlowSR reformulates SR as a rectified flow and applies consistency distillation with HR regularization plus fast-slow scheduling to enable single-step high-quality super-resolution.
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Elucidating the SNR-t Bias of Diffusion Probabilistic Models
Diffusion models have an SNR-timestep mismatch during inference that the authors mitigate with per-frequency differential correction, raising generation quality across IDDPM, ADM, DDIM and others.
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The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
The NTIRE 2026 challenge establishes a benchmark for x4 super-resolution of remote sensing infrared images, with 13 teams submitting valid methods evaluated on a dedicated dataset.
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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.