Jing Liao
Most Recent Affiliation(s):
- City University of Hong Kong
Learning Category: Jury Member:
Learning Category: Presentation(s):
![MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Tan_MichiGAN-150x150.jpg)
Type: [Technical Papers]
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing Presenter(s): [Tan] [Chai] [Chen] [Liao] [Chu] [Yuan] [Tulyakov] [Yu]
[SIGGRAPH 2020]
![Progressive Color Transfer With Dense Semantic Correspondences](https://history.siggraph.org/wp-content/uploads/2022/07/2019-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Progressive Color Transfer With Dense Semantic Correspondences Presenter(s): [He] [Liao] [Chen] [Yuan] [Sander]
[SIGGRAPH 2019]
![Deep exemplar-based colorization](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-He_Deep-Exemplar-based-Colorization-150x150.jpg)
Type: [Technical Papers]
Deep exemplar-based colorization Presenter(s): [He] [Chen] [Liao] [Sander] [Yuan]
Entry No.: [47]
[SIGGRAPH 2018]
![Gigapixel Panorama Video Loops](https://history.siggraph.org/wp-content/uploads/2022/07/2018-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Gigapixel Panorama Video Loops Presenter(s): [He] [Liao] [Sander] [Hoppe]
[SIGGRAPH 2018]
![Neural best-buddies: sparse cross-domain correspondence](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Aberman_Neural-Best-Buddies-Sparse-Cross-Domain-Correspondence-150x150.jpg)
Type: [Technical Papers]
Neural best-buddies: sparse cross-domain correspondence Presenter(s): [Aberman] [Liao] [Shi] [Lischinski] [Chen] [Cohen-Or]
Entry No.: [69]
[SIGGRAPH 2018]
Role(s):
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