WebTable 2. Quantitative comparison on the real-world LFW, CelebChild, WebPhoto. and indicates the best and second best performance. From: VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. Dataset LFW-Test CelebChild WebPhoto Methods FID \(\downarrow \) NIQE \(\downarrow \) FID \(\downarrow \) WebTest data: CelebA-Test, LFW-Test, WebPhoto-Test, and CelebChild-Test; Model: Both pretrained models used for training and the trained model of our RestoreFormer can be …
Blind Face Restoration via Deep Multi-scale Component Dictionaries ...
WebTest, LFW-Test11, CelebChild-Test and WebPhoto-Test. These datasets are all distinct from the training examples. The dataset is consisting with variety of facial images having different age group, skin colour, style, pose and gender. 2) Training The Model: From the collected dataset, prepare the training dataset and ... We evaluate VQFR on one synthetic dataset CelebA-Test, and three real-world datasets LFW-Test, CelebChild and Webphoto-Test.For reproduce our evaluation results, you need to perform the following steps: 1. … See more We provide the training codes for VQFR (used in our paper). 1. Dataset preparation: FFHQ 2. Download lpips weights [Google … See more children\u0027s books about me
(PDF) RestoreFormer: High-Quality Blind Face Restoration From ...
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