Search Results for author:
Found 6 papers, 3 papers with code
LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge
In this paper, we propose LayeringDiff, a novel pipeline for the synthesis of layered images, which begins by generating a composite image using an off-the-shelf image generative model, followed by disassembling the image into its constituent foreground and background layers.
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
Recent image tone adjustment (or enhancement) approaches have predominantly adopted supervised learning for learning human-centric perceptual assessment.
UGPNet: Universal Generative Prior for Image Restoration
UGPNet first restores the image structure of a degraded input using a regression model and synthesizes a perceptually-realistic image with a generative model on top of the regressed output.
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains
In this paper, we propose DynaGAN, a novel few-shot domain-adaptation method for multiple target domains.
BigColor: Colorization using a Generative Color Prior for Natural Images
In this paper, we propose BigColor, a novel colorization approach that provides vivid colorization for diverse in-the-wild images with complex structures.
GAN Inversion for Out-of-Range Images with Geometric Transformations
For successful semantic editing of real images, it is critical for a GAN inversion method to find an in-domain latent code that aligns with the domain of a pre-trained GAN model.
