目撃証言にもとづく正面顔似顔絵スケッチの生成:CLISOTS

CLISOTS(CLIP based Semantic Oriented Testimony to portrait Sketch)は言語的な表現から逐次的に正面顔スケッチ画像を生成するシステムです。

この研究はHCGシンポジウム2023で発表しました。

HCGシンポジウム2023で学生優秀インタラクティブ発表賞を受賞しました。

HCGシンポジウム2023 受賞者一覧

Related Work

CLIPasso: CLIPasso: Semantically-Aware Object Sketching, 2022 (Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir)

CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders, 2021 (Kevin Frans, L.B. Soros, Olaf Witkowski)

Diffvg: Differentiable vector graphics rasterization for editing and learning, ACM Transactions on Graphics 2020 (Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, Jonathan Ragan-Kelley)

License

Shield:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Name		Name	Last commit message	Last commit date
Latest commit History 132 Commits
CLIP_		CLIP_
U2Net_		U2Net_
docker		docker
models		models
repo_images		repo_images
target_images		target_images
.gitignore		.gitignore
CLISOTS.ipynb		CLISOTS.ipynb
LICENSE		LICENSE
README.md		README.md
cog.yaml		cog.yaml
config.py		config.py
display_results.py		display_results.py
docker-compose.yml		docker-compose.yml
painterly_rendering.py		painterly_rendering.py
poetry.lock		poetry.lock
predict.py		predict.py
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
run_object_sketching.py		run_object_sketching.py
sketch_utils.py		sketch_utils.py

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tsubasa652/CLISOTS

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目撃証言にもとづく正面顔似顔絵スケッチの生成:CLISOTS

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