| U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation J Kim, M Kim, H Kang, K Lee International Conference on Learning Representations (ICLR 2020), 2020 | 735 | 2020 |
| Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks S Yu, J Tack, S Mo, H Kim, J Kim, JW Ha, J Shin International Conference on Learning Representations (ICLR 2022), 2022 | 224 | 2022 |
| StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing H Kim, Y Choi, J Kim, S Yoo, Y Uh Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 188* | 2021 |
| Let 2d diffusion model know 3d-consistency for robust text-to-3d generation J Seo, W Jang, MS Kwak, J Ko, H Kim, J Kim, JH Kim, J Lee, S Kim International Conference on Learning Representations (ICLR 2024), 2024 | 130 | 2024 |
| Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models J Choi, Y Choi, Y Kim, J Kim, S Yoon AI for Content Creation Workshop (CVPRW AI4CC 2023), Oral, 2023 | 49 | 2023 |
| Rarity Score: A New Metric to Evaluate the Uncommonness of Synthesized Images J Han, H Choi, Y Choi, J Kim, JW Ha, J Choi International Conference on Learning Representations (ICLR 2023), Spotlight, 2023 | 33 | 2023 |
| Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding G Kim, H Shim, H Kim, Y Choi, J Kim, E Yang Computer Vision and Pattern Recognition (CVPR 2023), 2023 | 32 | 2023 |
| Feature Statistics Mixing Regularization for Generative Adversarial Networks J Kim, Y Choi, Y Uh Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 23 | 2022 |
| Generator Knows What Discriminator Should Learn in Unconditional GANs G Lee, H Kim, J Kim, S Kim, JW Ha, Y Choi European Conference on Computer Vision (ECCV 2022), 2022 | 18 | 2022 |
| Visual style prompting with swapping self-attention J Jeong, J Kim, Y Choi, G Lee, Y Uh arXiv preprint arXiv:2402.12974, 2024 | 17 | 2024 |
| Direct unlearning optimization for robust and safe text-to-image models YH Park, S Yun, JH Kim, J Kim, G Jang, Y Jeong, J Jo, G Lee Neural Information Processing Systems (NeurIPS 2024), 2024 | 9 | 2024 |
| User-friendly image editing with minimal text input: Leveraging captioning and injection techniques S Kim, W Jang, H Kim, J Kim, Y Choi, S Kim, G Lee arXiv preprint arXiv:2306.02717, 2023 | 7 | 2023 |
| Diffusion Models with Grouped Latents for Interpretable Latent Space S Lee, G Lee, H Kim, J Kim, Y Uh Structured Probabilistic Inference and Generative Modeling Workshop (ICMLW …, 2023 | 5 | 2023 |
| Sequential Data Generation with Groupwise Diffusion Process S Lee, G Lee, H Kim, J Kim, Y Uh arXiv preprint arXiv:2310.01400, 2023 | 2 | 2023 |
| D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification M Jang, J Son, T Viriyasaranon, J Kim, JH Choi International Conference on Data Mining (ICDM 2024), 2024 | 1 | 2024 |
| Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization D Kim, E Ko, H Kim, Y Kim, J Kim, D Min, J Kim, SJ Hwang AI for Content Creation Workshop (CVPRW AI4CC 2023), 2023 | 1 | 2023 |
| Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance Y Kim, H Kim, J Kim, Y Choi, E Yang International Conference on Learning Representations (ICLR 2023), 2023 | 1 | 2023 |
| Unpaired Panoramic Image-to-Image Translation Leveraging Pinhole Images S Kim, J Kim, T Kim, H Heo, S Kim, J Lee, JH Kim | 1 | |
| Panoramic Image-to-Image Translation S Kim, J Kim, T Kim, H Heo, S Kim, J Lee, JH Kim arXiv preprint arXiv:2304.04960, 2023 | | 2023 |
Yunjey ChoiNAVER AI LabVerified email at navercorp.com