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Found 8 papers, 3 papers with code
QEAN: Quaternion-Enhanced Attention Network for Visual Dance Generation
The study of music-generated dance is a novel and challenging Image generation task.
CLIP Guided Image-perceptive Prompt Learning for Image Enhancement
Image enhancement is a significant research area in the fields of computer vision and image processing.
High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
We handle high-resolution document shadow removal directly via a larger-scale real-world dataset and a carefully designed frequency-aware network.
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion
Vignetting commonly occurs as a degradation in images resulting from factors such as lens design, improper lens hood usage, and limitations in camera sensors.
DocDeshadower: Frequency-aware Transformer for Document Shadow Removal
In this study, we propose the DocDeshadower, a multi-frequency Transformer-based model built on Laplacian Pyramid.
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
In order to facilitate film-based image stylization research, we construct FilmSet, a large-scale and high-quality film style dataset.
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement
Image enhancement is a technique that frequently utilized in digital image processing.
Fast fluorescence lifetime imaging analysis via extreme learning machine
As there is no back-propagation process for ELM during the training phase, the training speed is much higher than existing neural network approaches.
