We propose to use pretraining to boost general image-to-image translation.
Ranked #1 on Sketch-to-Image Translation on COCO-Stuff
The values of backward bifurcation point and saddle node bifurcation point are the elite control threshold and post-treatment control threshold respectively.
With a low bit-rate latent code, previous works have difficulties in preserving high-fidelity details in reconstructed and edited images.
We present a novel approach to reference-based super-resolution (RefSR) with the focus on dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and high-fidelity results.
Although recent inpainting approaches have demonstrated significant improvements with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt colors when filling in the missing regions.
The goal is to facilitate the learning process in the target segments by leveraging the learned knowledge from data-sufficient source segments.