Denoising Diffusion Probabilistic Models, Jonathan Ho, Ajay Jain, Pieter Abbeel, 2020Advances in Neural Information Processing Systems (NeurIPS)DOI: 10.48550/arXiv.2006.11239 - This foundational paper introduces the Denoising Diffusion Probabilistic Model (DDPM) and the initial linear noise schedule for the forward diffusion process.
Improved Denoising Diffusion Probabilistic Models, Alex Nichol and Prafulla Dhariwal, 2021Advances in Neural Information Processing Systems (NeurIPS)DOI: 10.48550/arXiv.2102.09672 - This paper proposes the cosine noise schedule, an improvement over the linear schedule, enhancing sample quality and training stability for diffusion models.