Publications
[P2] Bridging Diffusion Guidance With Fixed Point Acceleration via Hopfield Dynamics
Kwanyoung Kim
![[P1] Single-Step Bidirectional Unpaired Image Translation Using Implicit Bridge Consistency Distillation](https://images.unsplash.com/photo-1677442136019-21780ecad995?w=800.jpg)
[P1] Single-Step Bidirectional Unpaired Image Translation Using Implicit Bridge Consistency Distillation
Suhyeon Lee*, Kwanyoung Kim*, Jong-Chul Ye(* Equal Contribution)
![[C13] Reward Sharpness-Aware Fine-Tuning for Diffusion Models](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/rsa-ft_concept3.png)
[C13] Reward Sharpness-Aware Fine-Tuning for Diffusion Models
Kwanyoung Kim*, Byeoung Su Sim*(* Equal Contribution)
![[C12] Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/BANSA.jpg)
[C12] Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
Kwanyoung Kim, Sanghyun Kim
![[C11] Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/ASAG.jpg)
[C11] Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance
Kwanyoung Kim
![[C10] PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/PLADIS.jpg)
[C10] PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
Kwanyoung Kim, Byeongsu Sim
![[J2] End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/ceft.png)
[J2] End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding
Kwanyoung Kim*, Yujin Oh*, Sangjoon Park*, Hwa Kyung Byun, Jin Sung Kim, Yong Bae Kim, Jong-Chul Ye(* Equal Contribution)
![[C9] OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/OTseg.png)
[C9] OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
Kwanyoung Kim*, Yujin Oh*, Jong-Chul Ye(* Equal Contribution)
![[C8] Unpaired Image-to-Image Translation via Neural Schrödinger Bridge](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/UNSB.png)
[C8] Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong-Chul Ye
![[C7] Noise2One: One-Shot Image Denoising with Local Implicit Learning](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/Noise2One.jpg)
[C7] Noise2One: One-Shot Image Denoising with Local Implicit Learning
Kwanyoung Kim, Jong-Chul Ye
![[C6] Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/Noise2AdapScore.png)
[C6] Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching
Kwanyoung Kim, Taesung Kwon, Jong-Chul Ye
![[C5] Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/Noise2Score.png)
[C5] Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim, Jong-Chul Ye
![[C4] Task-Aware Variational Adversarial Active Learning](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/TAVAAL.png)
[C4] Task-Aware Variational Adversarial Active Learning
Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun
![[J1] Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/JSTSP.png)
[J1] Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth
Kwanyoung Kim, Shakarim Soltanayev, Se Young Chun
![[C3] NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/video2.png)
[C3] NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
Seungjun Nah, Radu Timofte, Including (Kwanyoung Kim)
![[C2] Efficient Module Based Single Image Super Resolution for Multiple Problems](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/embsr2.png)
[C2] Efficient Module Based Single Image Super Resolution for Multiple Problems
Dongwon Park*, Kwanyoung Kim*, Se Young Chun(* Equal Contribution)
![[C1] NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results](https://raw.githubusercontent.com/cubeyoung/k_0.kim.github.io/refs/heads/master/source/images/embsr.png)
[C1] NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte, Including (Kwanyoung Kim)