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"What I cannot create, I do not understand."
- Richard Feynman
"What an AI cannot generate, the AI do not understand."
- Generative models
Intelligence models the world:
It understands visual observations.
It imagines possible states of the world.
An artificial intelligence should be able to generate images as humans imagine scenes.
We aim to teach visual intelligence to machines.
Image Synthesis
Image Synthesis
Generative models synthesize images with designated properties.
The designated properties can be specified by many ways, e.g., dataset, semantics, exemplar, viewpoint, and so on.
Our goal is to provide users with controllability of such properties in the resulting images. Possible solutions include but are not limited to designing special networks or training procedures.
Learning Representations
Learning Representations
Neural networks encode visual observations into some latent representation which convey semantics before producing final outputs.
Learning generally useful representations of arbitrary images has always been a holy grail for visual intelligence. While recent methods introduce unsupervised learning approaches for some tasks, there is wide room to develop more generalizable or more effective techniques.
NEWS
NEWS
[2025. 02.] One paper is accepted to CVPR 2025.
[2024. 12.] One paper is accepted to AAAI 2025.
[2024. 07.] Three papers are accepted to ECCV 2024.
[2024. 06.] Jaeseok won the best paper award from AI4CC 2024 (CVPR workshop)!
[2024. 05.] One paper is accepted to ICML 2024.
[2024. 04.] One paper is accepted to AI4CC 2024 (CVPR workshop).
[2024. 02.] One paper is accepted to CVPR 2024.
[2023. 12.] One paper is accepted to AAAI 2024.
[2023. 09.] Two papers are accepted to NeurIPS 2023.
[2023. 09.] Jaeseok is working as a research intern at NAVER AI LAB (~ Feb 2024).
[2023. 07.] One paper is accepted to ICCV 2023.
[2023. 07.] Dongkyun is working as an intern at LG electronics (~ Aug 2023).
[2023. 05.] Mingi is working as a research intern at Adobe Research (~ Dec 2023).
[2023. 02.] Mingi and Jaeseok received Samsung Humantech paper award - Gold prize for Asyrp.
[2023. 01.] One paper is accepted to ICLR 2023 (notable-top-25%).
[2022. 12.] Minjung is working as a research intern at NAVER AI LAB (~ Jun 2023).
[2022. 07.] One paper is accepted to ECCV 2022.
Engineering Research Park (공학원), room 425A
Yonsei University
50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea
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