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Found 9 papers, 3 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.
Instance-guided Cartoon Editing with a Large-scale Dataset
Cartoon editing, appreciated by both professional illustrators and hobbyists, allows extensive creative freedom and the development of original narratives within the cartoon domain.
AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
Through multiple quantitative metrics evaluated on our dataset and a user study, we demonstrate AnimeDiffusion outperforms state-of-the-art GANs-based models for anime face line drawing 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.
Neural Recognition of Dashed Curves With Gestalt Law of Continuity
While humans can intuitively recognize dashed curves from disjoint curve segments based on the law of continuity in Gestalt psychology, it is extremely difficult for computers to model the Gestalt law of continuity and recognize the dashed curves since high-level semantic understanding is needed for this task.
Invertible Tone Mapping with Selectable Styles
In this paper, we propose an invertible tone mapping method that converts the multi-exposure HDR to a true LDR (8-bit per color channel) and reserves the capability to accurately restore the original HDR from this {\em invertible LDR}.
Deep Halftoning With Reversible Binary Pattern
Existing halftoning algorithms usually drop colors and fine details when dithering color images with binary dot patterns, which makes it extremely difficult to recover the original information.
Binocular Tone Mapping with Improved Overall Contrast and Local Details
However, the existing research lacks the binocular perception study and is unable to generate the optimal binocular pair that presents the most visual content.
Real-time Deep Video Deinterlacing
Interlacing is a widely used technique, for television broadcast and video recording, to double the perceived frame rate without increasing the bandwidth.
Ranked #11 on
Video Deinterlacing
on MSU Deinterlacer Benchmark
