Search Results for author: Lvmin Zhang

Found 8 papers, 4 papers with code

Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN

2 code implementations11 Jun 2017 Lvmin Zhang, Yi Ji, Xin Lin

Recently, with the revolutionary neural style transferring methods, creditable paintings can be synthesized automatically from content images and style images.

Colorization Generative Adversarial Network +1

SmartShadow: Artistic Shadow Drawing Tool for Line Drawings

no code implementations ICCV 2021 Lvmin Zhang, Jinyue Jiang, Yi Ji, Chunping Liu

SmartShadow is a deep learning application for digital painting artists to draw shadows on line drawings, with three proposed tools.

User-Guided Line Art Flat Filling With Split Filling Mechanism

no code implementations CVPR 2021 Lvmin Zhang, Chengze Li, Edgar Simo-Serra, Yi Ji, Tien-Tsin Wong, Chunping Liu

We present a deep learning framework for user-guided line art flat filling that can compute the "influence areas" of the user color scribbles, i. e., the areas where the user scribbles should propagate and influence.

Generating Manga From Illustrations via Mimicking Manga Creation Workflow

no code implementations CVPR 2021 Lvmin Zhang, Xinrui Wang, Qingnan Fan, Yi Ji, Chunping Liu

To this end, we create a large-scale dataset with these three components annotated by artists in a human-in-the-loop manner.

Adding Conditional Control to Text-to-Image Diffusion Models

4 code implementations ICCV 2023 Lvmin Zhang, Anyi Rao, Maneesh Agrawala

ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers pretrained with billions of images as a strong backbone to learn a diverse set of conditional controls.

Image Generation

Transparent Image Layer Diffusion using Latent Transparency

3 code implementations27 Feb 2024 Lvmin Zhang, Maneesh Agrawala

We show that latent transparency can be applied to different open source image generators, or be adapted to various conditional control systems to achieve applications like foreground/background-conditioned layer generation, joint layer generation, structural control of layer contents, etc.

DanbooRegion: An Illustration Region Dataset

1 code implementation ECCV 2020 Lvmin Zhang, Yi JI, Chunping Liu

We detail the challenges in achieving this dataset and present a human-in-the-loop workflow namely Feasibility-based Assignment Recommendation (FAR) to enable large-scale annotating.

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