TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models

Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo. TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{KimJKY23,
  title = {TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models},
  author = {Pum Jun Kim and Yoojin Jang and Jisu Kim and Jaejun Yoo},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/185969291540b3cd86e70c51e8af5d08-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/KimJKY23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}