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Found 8 papers, 4 papers with code
LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block
Drawing lessons from lattice filter bank, we design the lattice block (LB) in which two butterfly structures are applied to combine two RBs.
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration
Multi-weather image restoration has witnessed incredible progress, while the increasing model capacity and expensive data acquisition impair its applications in memory-limited devices.
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
In industrial scenarios, it is crucial not only to identify anomalous items but also to classify the type of anomaly.
Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
In the forward stage, we take advantage of LTH with rewinding weights to progressively shrink the SR model and the pruning-out masks that form nested sets.
Boosting Lightweight Single Image Super-resolution via Joint-distillation
The joint-distillation learning consists of internal self-distillation and external mutual learning.
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results.
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Track 1 targeted the single image demoireing problem, which seeks to remove moire patterns from a single image.
Bi-GANs-ST for Perceptual Image Super-resolution
In this paper, motivated by [1], we aim to generate a high-quality SR result which balances between the two indices, i. e., the perception index and root-mean-square error (RMSE).
