4 citations · 14 across the 6 of their papers we have counts for
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cs.CV2023★ 3 cited
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi +3
Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when adapting…
cs.CV2023★ 4 cited
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Sangwoo Mo, Minkyu Kim, Kyungmin Lee +1
Vision-language models, such as contrastive language-image pre-training (CLIP), have demonstrated impressive results in natural image domains. However, these models often struggle…
cs.CV2022
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization
Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee
Training a deep learning model with artificially generated data can be an alternative when training data are scarce, yet it suffers from poor generalization performance due to a la…