| Let 2d diffusion model know 3d-consistency for robust text-to-3d generation J Seo, W Jang, MS Kwak, H Kim, J Ko, J Kim, JH Kim, J Lee, S Kim arXiv preprint arXiv:2303.07937, 2023 | 78 | 2023 |
| Improving sample quality of diffusion models using self-attention guidance S Hong, G Lee, W Jang, S Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 33 | 2023 |
| Dag: Depth-aware guidance with denoising diffusion probabilistic models G Kim, W Jang, G Lee, S Hong, J Seo, S Kim arXiv preprint arXiv:2212.08861, 2022 | 6 | 2022 |
| 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 | 3 | 2023 |
| Retrieval-augmented score distillation for text-to-3d generation J Seo, S Hong, W Jang, IH Kim, M Kwak, D Lee, S Kim arXiv preprint arXiv:2402.02972, 2024 | 1 | 2024 |
| Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters G Lee, W Jang, JH Kim, J Jung, S Kim arXiv preprint arXiv:2310.11031, 2023 | 1 | 2023 |
| Depth-aware guidance with self-estimated depth representations of diffusion models G Kim, W Jang, G Lee, S Hong, J Seo, S Kim Pattern Recognition, 110474, 2024 | | 2024 |
| Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance D Ahn, H Cho, J Min, W Jang, J Kim, SH Kim, HH Park, KH Jin, S Kim arXiv preprint arXiv:2403.17377, 2024 | | 2024 |
