Conditional Transformation Diffusion for Object Placement

Author:

Liu Jiacheng1ORCID,Wei Shida1ORCID,Ma Rui1ORCID

Affiliation:

1. School of Artificial Intelligence, Jilin University, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference21 articles.

1. Diffusion models beat GANs on image synthesis;Dhariwal Prafulla;Advances in Neural Information Processing Systems,2021

2. Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, and Amit Haim Bermano. 2023. Cross-domain Compositing with Pretrained Diffusion Models. arXiv preprint arXiv:2302.10167 (2023).

3. Deep Residual Learning for Image Recognition

4. Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017. GANs trained by a two time-scale update rule converge to a local nash equilibrium. Advances in Neural Information Processing Systems 30 (2017).

5. Denoising diffusion probabilistic models;Ho Jonathan;Advances in Neural Information Processing Systems,2020

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