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- LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block367
A lightweight SR model, LatticeNet, is proposed, which uses series connection of LBs and the backward feature fusion, which can achieve superior accuracy on four available benchmark datasets against other state-of-the-art methods, while maintaining relatively low computation and memory requirements.
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2023320
CNCB-NGDC has newly constructed the monkeypox virus resource, along with frequent updates of SARS-CoV-2 genome sequences, variants as well as haplotypes.
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- AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results101
The AIM 2020 challenge on efficient single image super-resolution was to super-resolve an input image with a magnification factor x4 based on a set of prior examples of low and corresponding high resolution images with focus on the proposed solutions and results.
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- Database resources of the National Genomics Data Center, China National Center for Bioinformation in 202676
The launch of BIG Search enables cross-database search services for large-scale biological data platforms, including NGDC, National Center for Biotechnology Information (NCBI), and European Bioinformatics Institute (EBI).
- NTIRE 2020 Challenge on Image Demoireing: Methods and Results45
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020, and examines the current state-of-the-art in image and burst image demoireing problems.
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- SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution21
An adaptive skip diffusion model (SkipDiff), which aims to achieve high-fidelity perceptual image SR with fewer sampling steps, which decouples the sampling procedure into coarse skip approximation and fine skip refinement stages.
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- AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution18
A texture-relevant sparse attention block with parallel global and local branches is introduced, aiming to integrate informative tokens from the global view instead of only in fixed local windows, and an early-exit strategy is designed to progressively halt tokens according to the token importance.
- Bi-GANs-ST for Perceptual Image Super-Resolution18
A new deep SR framework is designed, dubbed Bi-GANs-ST, by integrating two complementary generative adversarial networks (GAN) branches, which emphasizes on improving the objective performance, such as reducing the RMSE.
- Boosting Lightweight Single Image Super-resolution via Joint-distillation16
A novel joint-distillation (JDSR) framework to boost the representation of various off-the-shelf lightweight SR models by a large margin, with the same model architecture and inference expense.
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- Joint-attention Discriminator for Accurate Super-resolution via Adversarial Training9
A joint-att attention discriminator with which GAN improves the SR performance in PSNR and SSIM, as well as maintaining the visual effect compared with non-attention GAN based SR models is designed.
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- UniLDiff: Unlocking the Power of Diffusion Priors for All-in-One Image Restoration6
UniLDiff, a unified framework enhanced with degradation- and detail-aware mechanisms, unlocking the power of diffusion priors for robust image restoration is proposed, enabling implicit modeling of diverse and compound degradations.
- Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity6
This work essentially provides a dynamic parameter reassignment scheme with a given resource budget for an off-the-shelf SR model and demonstrates that IKS imparts considerable sparsity with negligible effect on SR quality.
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- Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration4
A novel Data-free Distillation with Degradation-prompt Diffusion framework for multi-weather Image Restoration (D4IR), which replaces GANs with pre-trained diffusion models to avoid model collapse and incorporates a degradation-aware prompt adapter to facilitate content-driven conditional diffusion for generating domain-related images.
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- Study on Optimal Operation Mode of One-key Sequence Control in Substation4
The weights of various indicators including operation efficiency, economic benefits and other factors are established, and an optimal operation mode is proposed based on the one-key sequential control operation mode of different application scenarios.
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- SkipVSR: Adaptive Patch Routing for Video Super-Resolution with Inter-Frame Mask2
A scalable method based on adaptive patch routing based on a confidence estimator to predict the aggregation performance of each block for adjacent patch information to accelerate the inference of VSR models to achieve practical speedup.
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- Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes–
Imagine and Imitate Bidding (IIBidder), which includes Strategy Imitation and Imagination modules, is proposed to generate cost-effective bidding strategies under partially observable price landscapes to address real-time bidding challenges.
Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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