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Ryan Teehan

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Articles by Ryan Teehan

Paper page - ProCreate, Dont Reproduce! Propulsive Energy Diffusion for Creative Generation

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By Jack Lu, Ryan Teehan, Mengye Ren
| huggingface.co
Papers Published on Aug 5 · Submitted by akhaliq on Aug 6 Abstract In this paper, we propose ProCreate, a simple and easy-to-implement method to improve sample diversity and creativity of diffusion-based image generative models and to prevent training data reproduction. ProCreate operates on a set of reference images and actively propels the generated image embedding away from the reference embeddings during the generation process.
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[2408.02226] ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation

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By Ryan Teehan, Mengye Ren
| arXiv
arXiv:2408.02226 (cs) [Submitted on 5 Aug 2024 (v1), last revised 6 Aug 2024 (this version, v2)] View PDF HTML (experimental) Comments: Subjects: Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2408.02226 [cs.CV] (or arXiv:2408.02226v2 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2408.02226 Submission history From: Jack Lu [ view email] [v1] Mon, 5 Aug 2024 04:10:52 UTC (23,727 KB) [v2] Tue, 6 Aug 2024 19:12:35 UTC (23,727 KB) Bibliographic Tools Bibliographic...
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