Jisu Nam

According to our database, Jisu Nam authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation.

Seyeon Kim, Siyoon Jin, Jihye Park, Kihong Kim, Jiyoung Kim, Jisu Nam, Seungryong Kim

CoRR, 2024

DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization.

Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, Seunggyu Chang

CoRR, 2024

2023

DiffMatch: Diffusion Model for Dense Matching.

Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim

CoRR, 2023

2022

DiffFace: Diffusion-based Face Swapping with Facial Guidance.

Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, Kwanghee Lee

CoRR, 2022

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence.

Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation.

Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Cost Aggregation Is All You Need for Few-Shot Segmentation.

Sunghwan Hong, Seokju Cho, Jisu Nam, Seungryong Kim

CoRR, 2021