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08/05/2023
Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks
In recent years, the removal of motion blur in photographs has seen impr...
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02/10/2023
MaskSketch: Unpaired Structure-guided Masked Image Generation
Recent conditional image generation methods produce images of remarkable...
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12/27/2022
Scaling Painting Style Transfer
Neural style transfer is a deep learning technique that produces an unpr...
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10/03/2022
Visual Prompt Tuning for Generative Transfer Learning
Transferring knowledge from an image synthesis model trained on a large ...
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09/26/2022
Rethinking Motion Deblurring Training: A Segmentation-Based Method for Simulating Non-Uniform Motion Blurred Images
Successful training of end-to-end deep networks for real motion deblurri...
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09/09/2022
Improved Masked Image Generation with Token-Critic
Non-autoregressive generative transformers recently demonstrated impress...
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02/01/2021
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition
Characterizing and removing motion blur caused by camera shake or object...
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05/25/2018
Psychophysics, Gestalts and Games
Many psychophysical studies are dedicated to the evaluation of the human...
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12/05/2017
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
Deep neural networks trained using a softmax layer at the top and the cr...
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11/22/2017
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Hash codes are efficient data representations for coping with the ever g...
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11/21/2016