Seungwook Kim

@inproceedings{kim2026intrinsic,
  title={Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards},
  author={Kim, Seungwook and Cho, Minsu},
  booktitle={CVPR},
  year={2026}
}

@inproceedings{kim2025freeaction,
  title={FreeAction: Training-Free Techniques for Enhanced Fidelity of Trajectory-to-Video Generation},
  author={Kim, Seungwook and Lee, Seunghyeon and Cho, Minsu},
  booktitle={CoRL Workshop},
  year={2025}
}

@inproceedings{kim2026rapidmv,
  title={RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis},
  author={Kim, Seungwook and Shi, Yichun and Li, Kejie and Cho, Minsu and Wang, Peng},
  booktitle={WACV},
  year={2026}
}

@inproceedings{kim2025similarity,
  title={Similarity-Aware Selective State-Space Modeling for Semantic Correspondence},
  author={Kim, Seungwook and Cho, Minsu},
  booktitle={ICCV},
  year={2025}
}

@inproceedings{lee2025training,
  title={Harnessing the Power of Training-Free Techniques for Text-to-3D Generation via Score Distillation Sampling},
  author={Lee, Junhong and Kim, Seungwook and Cho, Minsu},
  booktitle={CVPR Workshop},
  year={2025}
}

@inproceedings{lee2024shape,
  title={3D Geometric Shape Assembly via Efficient Point Cloud Matching},
  author={Lee, Nahyuk and Min, Juhong and Lee, Junha and Kim, Seungwook and Lee, Kanghee and Park, Jaesik and Cho, Minsu},
  booktitle={ICML},
  year={2024}
}

@misc{kim2024multiimagedream,
  title={Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation},
  author={Kim, Seungwook and Shi, Yichun and Li, Kejie and Cho, Minsu and Wang, Peng},
  year={2024},
  eprint={2404.17419},
  archivePrefix={arXiv}
}

@inproceedings{kim2024correspondentdream,
  title={Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences},
  author={Kim, Seungwook and Li, Kejie and Deng, Xueqing and Shi, Yichun and Cho, Minsu and Wang, Peng},
  booktitle={CVPR},
  year={2024}
}

@inproceedings{park2024so3,
  title={Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform},
  author={Park, Chunghyun and Kim, Seungwook and Park, Jaesik and Cho, Minsu},
  booktitle={CVPR},
  year={2024}
}

@inproceedings{kim2024efficient,
  title={Efficient Semantic Matching with Hypercolumn Correlation},
  author={Kim, Seungwook and Min, Juhong and Cho, Minsu},
  booktitle={WACV},
  year={2024}
}

@inproceedings{kim2023stable,
  title={Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning},
  author={Kim, Seungwook and Park, Chunghyun and Jeong, Yoonwoo and Park, Jaesik and Cho, Minsu},
  booktitle={ICML},
  year={2023}
}

@inproceedings{lee2023rotation,
  title={Learning Rotation-Equivariant Features for Visual Correspondence},
  author={Lee, Jongmin and Kim, Byungjin and Kim, Seungwook and Cho, Minsu},
  booktitle={CVPR},
  year={2023}
}

@article{min2023chm,
  title={Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence},
  author={Min, Juhong and Kim, Seungwook and Cho, Minsu},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2023}
}

@inproceedings{kim2022selca,
  title={SeLCA: Self-Supervised Learning of Canonical Axis},
  author={Kim, Seungwook and Jeong, Yoonwoo and Park, Chunghyun and Park, Jaesik and Cho, Minsu},
  booktitle={NeurIPS Workshop},
  year={2022}
}

@inproceedings{kim2022transformatcher,
  title={TransforMatcher: Match-to-Match Attention for Semantic Correspondence},
  author={Kim, Seungwook and Min, Juhong and Cho, Minsu},
  booktitle={CVPR},
  year={2022}
}

@inproceedings{lee2021deephough,
  title={Deep Hough Voting for Robust Global Registration},
  author={Lee, Junha and Kim, Seungwook and Cho, Minsu and Park, Jaesik},
  booktitle={ICCV},
  year={2021}
}

@inproceedings{lee2021distill,
  title={Learning to Distill Convolutional Features into Compact Local Descriptors},
  author={Lee, Jongmin and Jeong, Yoonwoo and Kim, Seungwook and Min, Juhong and Cho, Minsu},
  booktitle={WACV},
  year={2021}
}