Search Results for author: Wanchao Su

Found 6 papers, 2 papers with code

AniClipart: Clipart Animation with Text-to-Video Priors

no code implementations18 Apr 2024 Ronghuan Wu, Wanchao Su, Kede Ma, Jing Liao

To generate cartoon-style and smooth motion, we first define B\'{e}zier curves over keypoints of the clipart image as a form of motion regularization.

Image to Video Generation Text-to-Video Generation +1

StyleRetoucher: Generalized Portrait Image Retouching with GAN Priors

no code implementations22 Dec 2023 Wanchao Su, Can Wang, Chen Liu, Hangzhou Han, Hongbo Fu, Jing Liao

To address such issues, we present StyleRetoucher, a novel automatic portrait image retouching framework, leveraging StyleGAN's generation and generalization ability to improve an input portrait image's skin condition while preserving its facial details.

feature selection Image Retouching

IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers

no code implementations27 Apr 2023 Ronghuan Wu, Wanchao Su, Kede Ma, Jing Liao

More importantly, we demonstrate the flexibility of IconShop with multiple novel icon synthesis tasks, including icon editing, icon interpolation, icon semantic combination, and icon design auto-suggestion.

Text-to-Image Generation Vector Graphics

DifferSketching: How Differently Do People Sketch 3D Objects?

1 code implementation19 Sep 2022 Chufeng Xiao, Wanchao Su, Jing Liao, Zhouhui Lian, Yi-Zhe Song, Hongbo Fu

We invited 70 novice users and 38 expert users to sketch 136 3D objects, which were presented as 362 images rendered from multiple views.

3D Reconstruction

DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN

no code implementations5 Mar 2022 Wanchao Su, Hui Ye, Shu-Yu Chen, Lin Gao, Hongbo Fu

The research topic of sketch-to-portrait generation has witnessed a boost of progress with deep learning techniques.

Image Generation

Deep Generation of Face Images from Sketches

1 code implementation1 Jun 2020 Shu-Yu Chen, Wanchao Su, Lin Gao, Shihong Xia, Hongbo Fu

Our method essentially uses input sketches as soft constraints and is thus able to produce high-quality face images even from rough and/or incomplete sketches.

Image-to-Image Translation Translation

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