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Despite the impressive generative capabilities of diffusion models, existing diffusion model-based style transfer methods require inference-stage optimization (e.g. fine-tuning or textual inversion of style) which is time-consuming, or…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Jiwoo Chung , Sangeek Hyun , Jae-Pil Heo

Sketches are a medium to convey a visual scene from an individual's creative perspective. The addition of color substantially enhances the overall expressivity of a sketch. This paper proposes two methods to mimic human-drawn colored…

Computer Vision and Pattern Recognition · Computer Science 2022-01-10 V Manushree , Sameer Saxena , Parna Chowdhury , Manisimha Varma , Harsh Rathod , Ankita Ghosh , Sahil Khose

Creative sketch is a universal way of visual expression, but translating images from an abstract sketch is very challenging. Traditionally, creating a deep learning model for sketch-to-image synthesis needs to overcome the distorted input…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Qiang Wang , Di Kong , Fengyin Lin , Yonggang Qi

Text-guided diffusion models have achieved remarkable success in object inpainting by providing high-level semantic guidance through text prompts. However, they often lack precise pixel-level spatial control, especially in scenarios…

Computer Vision and Pattern Recognition · Computer Science 2025-08-01 Yongle Zhang , Yimin Liu , Yan Huang , Qiang Wu

One tough problem of image inpainting is to restore complex structures in the corrupted regions. It motivates interactive image inpainting which leverages additional hints, e.g., sketches, to assist the inpainting process. Sketch is simple…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Chang Liu , Shunxin Xu , Jialun Peng , Kaidong Zhang , Dong Liu

Text-to-image (T2I) diffusion models, with their impressive generative capabilities, have been adopted for image editing tasks, demonstrating remarkable efficacy. However, due to attention leakage and collision between the cross-attention…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Xingxi Yin , Zhi Li , Jingfeng Zhang , Chenglin Li , Yin Zhang

We present a sketch-based CAD modeling system, where users create objects incrementally by sketching the desired shape edits, which our system automatically translates to CAD operations. Our approach is motivated by the close similarities…

Graphics · Computer Science 2020-09-11 Changjian Li , Hao Pan , Adrien Bousseau , Niloy J. Mitra

With the advent of diffusion models, Text-to-Image (T2I) generation has seen substantial advancements. Current T2I models allow users to specify object colors using linguistic color names, and some methods aim to personalize color-object…

Graphics · Computer Science 2025-08-13 Qianru Qiu , Jiafeng Mao , Xueting Wang

Generating images from hand-drawings is a crucial and fundamental task in content creation. The translation is difficult as there exist infinite possibilities and the different users usually expect different outcomes. Therefore, we propose…

Computer Vision and Pattern Recognition · Computer Science 2022-09-02 Shin-I Cheng , Yu-Jie Chen , Wei-Chen Chiu , Hung-Yu Tseng , Hsin-Ying Lee

Coloring line art images based on the colors of reference images is an important stage in animation production, which is time-consuming and tedious. In this paper, we propose a deep architecture to automatically color line art videos with…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Min Shi , Jia-Qi Zhang , Shu-Yu Chen , Lin Gao , Yu-Kun Lai , Fang-Lue Zhang

3D Human motion style transfer is a fundamental problem in computer graphic and animation processing. Existing AdaIN- based methods necessitate datasets with balanced style distribution and content/style labels to train the clustered latent…

Graphics · Computer Science 2024-08-08 Lei Hu , Zihao Zhang , Yongjing Ye , Yiwen Xu , Shihong Xia

We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithms are based on texture rendering rather than the direct…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Zhengyan Tong , Xuanhong Chen , Bingbing Ni , Xiaohang Wang

3D content creation via text-driven stylization has played a fundamental challenge to multimedia and graphics community. Recent advances of cross-modal foundation models (e.g., CLIP) have made this problem feasible. Those approaches…

Computer Vision and Pattern Recognition · Computer Science 2023-11-10 Haibo Yang , Yang Chen , Yingwei Pan , Ting Yao , Zhineng Chen , Tao Mei

Exemplar-based sketch-to-photo synthesis allows users to generate photo-realistic images based on sketches. Recently, diffusion-based methods have achieved impressive performance on image generation tasks, enabling highly-flexible control…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Ximing Xing , Chuang Wang , Haitao Zhou , Zhihao Hu , Chongxuan Li , Dong Xu , Qian Yu

We propose a new method for producing color images from sketches. Current solutions in sketch colorization either necessitate additional user instruction or are restricted to the "paired" translation strategy. We leverage semantic image…

Computer Vision and Pattern Recognition · Computer Science 2023-01-23 Samet Hicsonmez , Nermin Samet , Emre Akbas , Pinar Duygulu

Text-to-image models are showcasing the impressive ability to create high-quality and diverse generative images. Nevertheless, the transition from freehand sketches to complex scene images remains challenging using diffusion models. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-07-10 Tianyu Zhang , Xiaoxuan Xie , Xusheng Du , Haoran Xie

Fashion design is a complex creative process that blends visual and textual expressions. Designers convey ideas through sketches, which define spatial structure and design elements, and textual descriptions, capturing material, texture, and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Federico Girella , Davide Talon , Ziyue Liu , Zanxi Ruan , Yiming Wang , Marco Cristani

Recent advancements in large vision-language models have enabled highly expressive and diverse vector sketch generation. However, state-of-the-art methods rely on a time-consuming optimization process involving repeated feedback from a…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Ellie Arar , Yarden Frenkel , Daniel Cohen-Or , Ariel Shamir , Yael Vinker

Colorizing line art is a pivotal task in the production of hand-drawn cel animation. This typically involves digital painters using a paint bucket tool to manually color each segment enclosed by lines, based on RGB values predetermined by a…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Yuekun Dai , Shangchen Zhou , Qinyue Li , Chongyi Li , Chen Change Loy

We propose a method for scene-level sketch-to-photo synthesis with text guidance. Although object-level sketch-to-photo synthesis has been widely studied, whole-scene synthesis is still challenging without reference photos that adequately…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 AprilPyone MaungMaung , Makoto Shing , Kentaro Mitsui , Kei Sawada , Fumio Okura