DALS: Diffusion-Based Artistic Landscape Sketch

Junho Kim, Heekyung Yang () and Kyungha Min ()
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Junho Kim: Department of Computer Science, Sangmyung University, Seoul 03016, Republic of Korea
Heekyung Yang: Department of Software, Sangmyung University, Cheonan 31066, Republic of Korea
Kyungha Min: Department of Computer Science, Sangmyung University, Seoul 03016, Republic of Korea

Mathematics, 2024, vol. 12, issue 2, 1-20

Abstract: We propose a framework that synthesizes artistic landscape sketches using a diffusion model-based approach. Furthermore, we suggest a three-channel perspective map (3CPM) that mimics the artistic skill used by real artists. We employ Stable Diffusion, which leads us to use ControlNet to process 3CPM in Stable Diffusion. Additionally, we adopt the Low Rank Adaptation (LoRA) method to fine-tune our framework, thereby enhancing the quality of sketch and resolving the color-remaining problem, which is a frequently observed artifact in the sketch images using diffusion models. We implement a bimodal sketch generation interface: text to sketch and image to sketch. In producing a sketch, a guide token is used so that our method synthesizes an artistic sketch in both cases. Finally, we evaluate our framework using quantitative and quantitative schemes. Various sketch images synthesized by our framework demonstrate the excellence of our study.

Keywords: diffusion-based; artistic landscape sketch; three-channel perspective map; Stable Diffusion; text to sketch; image to sketch (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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