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20212026
most citedImproved Diffusion-based Image Colorization via Piggybacked Models

3 citations · 5 across the 9 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023

Instance-guided Cartoon Editing with a Large-scale Dataset

Jian Lin, Chengze Li, Xueting Liu +1

Cartoon editing, appreciated by both professional illustrators and hobbyists, allows extensive creative freedom and the development of original narratives within the cartoon domain…

cs.CV2023

Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion

Minshan Xie, Hanyuan Liu, Chengze Li +1

Text-guided video-to-video stylization transforms the visual appearance of a source video to a different appearance guided on textual prompts. Existing text-guided image diffusion…

cs.CV2023

Manga Rescreening with Interpretable Screentone Representation

Minshan Xie, Chengze Li, Tien-Tsin Wong

The process of adapting or repurposing manga pages is a time-consuming task that requires manga artists to manually work on every single screentone region and apply new patterns to…

cs.CV2023★ 2 cited

Video Colorization with Pre-trained Text-to-Image Diffusion Models

Hanyuan Liu, Minshan Xie, Jinbo Xing +2

Video colorization is a challenging task that involves inferring plausible and temporally consistent colors for grayscale frames. In this paper, we present ColorDiffuser, an adapta…

cs.CV2023★ 3 cited

Improved Diffusion-based Image Colorization via Piggybacked Models

Hanyuan Liu, Jinbo Xing, Minshan Xie +2

Image colorization has been attracting the research interests of the community for decades. However, existing methods still struggle to provide satisfactory colorized results given…