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Found 4 papers, 1 papers with code
FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching Reversal
We first collect an FRR dataset, named deepFRR, which contains 50, 000 StyleGAN-generated high-resolution (1024*1024) facial images and their corresponding retouched ones by a commercial online API.
NLCUnet: Single-Image Super-Resolution Network with Hairline Details
Based on this finding, we create a new network architecture by integrating depth-wise convolution with channel attention without the blur kernel estimation, resulting in a performance improvement instead.
StarVQA+: Co-training Space-Time Attention for Video Quality Assessment
Self-attention based Transformer has achieved great success in many computer vision tasks.
StarVQA: Space-Time Attention for Video Quality Assessment
To capture the long-range spatiotemporal dependencies of a video sequence, StarVQA encodes the space-time position information of each patch to the input of the Transformer.
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