6/25/2023 0 Comments Photo translateScore by 5.6% compared to the previous best method. FDIT establishes state-of-the-art performance, reducing the average FID Preserves the identity of the source image, and produces photo-realistic Extensive experiments and ablations show that FDIT effectively We broadly evaluate FDIT acrossįive large-scale datasets and multiple tasks including image translation and Portable Translation Device Photo Translate Equipment 2.4 Inch Touch Screen Wifi/Offline Smart Instant Language Translator Suitable for Study, Work. Training objective facilitates the preservation of frequency information inīoth pixel space and Fourier spectral space. High-frequency feature captures object structure akin to the identity. Our key idea is toĭecompose the image into low-frequency and high-frequency components, where the Information for enhancing the image generation process. To solve these challenges, we propose a novelįrequency domain image translation (FDIT) framework, exploiting frequency Reference domain, losing important structural characteristics and sufferingįrom suboptimal visual quality. As a result, synthesized images can often over-adapt to the However, existing methods lack the ability to preserve the identity of the ![]() Download a PDF of the paper titled Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving, by Mu Cai and 5 other authors Download PDF Abstract: Image-to-image translation has been revolutionized with GAN-based methods.
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