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DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models


Dec 17, 2022
Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim

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* Project page is available at https://ku-cvlab.github.io/DAG/ 

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Improving Sample Quality of Diffusion Models Using Self-Attention Guidance


Oct 04, 2022
Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim

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* Project Page: https://ku-cvlab.github.io/Self-Attention-Guidance 

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Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling


Oct 04, 2022
Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim

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* Accepted at VIPriors ECCVW 2022, camera-ready version 

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MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation


Sep 23, 2022
Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim

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ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization


Aug 18, 2022
Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim

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* Accepted at ECCV 2022 

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Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels


Apr 05, 2022
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim

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* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 

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AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning


Jan 25, 2022
Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim

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