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Found 10 papers, 2 papers with code
Sketch2Manga: Shaded Manga Screening from Sketch with Diffusion Models
Unfortunately, there is no existing method that tailors for automatic manga screening, probably due to the difficulty of generating high-quality shaded high-frequency screentones.
Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion
However, they struggle to generate videos with both highly detailed appearance and temporal consistency.
Text-Guided Texturing by Synchronized Multi-View Diffusion
In this paper, we propose a synchronized multi-view diffusion approach that allows the diffusion processes from different views to reach a consensus of the generated content early in the process, and hence ensures the texture consistency.
Manga Rescreening with Interpretable Screentone Representation
To overcome these limitations, we propose a novel interpretable representation of screentones that disentangles their intensity and type features, enabling better recognition and synthesis of screentones.
Video Colorization with Pre-trained Text-to-Image Diffusion Models
In this paper, we present ColorDiffuser, an adaptation of a pre-trained text-to-image latent diffusion model for video colorization.
Improved Diffusion-based Image Colorization via Piggybacked Models
Our key idea is to exploit the color prior knowledge in the pre-trained T2I diffusion model for realistic and diverse colorization.
Screentone-Preserved Manga Retargeting
Fortunately, the rescaled manga shares the same region-wise screentone correspondences with the original manga, which enables us to simplify the screentone synthesis problem as an anchor-based proposals selection and rearrangement problem.
Exploiting Aliasing for Manga Restoration
First, we predict the target resolution from the degraded manga via the Scale Estimation Network (SE-Net) with spatial voting scheme.
Realistic face animation generation from videos
3D face reconstruction and face alignment are two fundamental and highly related topics in computer vision.
A Learned Compact and Editable Light Field Representation
Light fields are 4D scene representation typically structured as arrays of views, or several directional samples per pixel in a single view.
