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Found 6 papers, 3 papers with code
Task-Oriented Diffusion Model Compression
As recent advancements in large-scale Text-to-Image (T2I) diffusion models have yielded remarkable high-quality image generation, diverse downstream Image-to-Image (I2I) applications have emerged.
360$^\circ$ Reconstruction From a Single Image Using Space Carved Outpainting
We introduce POP3D, a novel framework that creates a full $360^\circ$-view 3D model from a single image.
Dr.3D: Adapting 3D GANs to Artistic Drawings
To tackle this, we present Dr. 3D, a novel adaptation approach that adapts an existing 3D GAN to artistic drawings.
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.
Realistic Blur Synthesis for Learning Image Deblurring
To this end, we present RSBlur, a novel dataset with real blurred images and the corresponding sharp image sequences to enable a detailed analysis of the difference between real and synthetic blur.
Ranked #1 on
Deblurring
on RSBlur (trained on synthetic)
