Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models

Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models. Mao, P., Kotyan, S., Foong, T. Y., & Vargas, D. V. CoRR, 2023.

Paper doi bibtex

@article{DBLP:journals/corr/abs-2312-11473,
  author       = {Poyuan Mao and
                  Shashank Kotyan and
                  Tham Yik Foong and
                  Danilo Vasconcellos Vargas},
  title        = {Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature
                  of Latent-Based Diffusion Models},
  journal      = {CoRR},
  volume       = {abs/2312.11473},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2312.11473},
  doi          = {10.48550/ARXIV.2312.11473},
  eprinttype    = {arXiv},
  eprint       = {2312.11473},
  timestamp    = {Wed, 17 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2312-11473.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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