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DALS: Diffusion-Based Artistic Landscape Sketch

Author

Listed:
  • 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
    These authors contributed equally to this work.)

  • Kyungha Min

    (Department of Computer Science, Sangmyung University, Seoul 03016, Republic of Korea
    These authors contributed equally to this work.)

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.

Suggested Citation

  • Junho Kim & Heekyung Yang & Kyungha Min, 2024. "DALS: Diffusion-Based Artistic Landscape Sketch," Mathematics, MDPI, vol. 12(2), pages 1-20, January.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:238-:d:1317204
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