106 citations · 328 across the 22 of their papers we have counts for
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cs.CV2023
Compensation Sampling for Improved Convergence in Diffusion Models
Hui Lu, Albert ali Salah, Ronald Poppe
Diffusion models achieve remarkable quality in image generation, but at a cost. Iterative denoising requires many time steps to produce high fidelity images. We argue that the deno…
cs.LG2023★ 2 cited
Elucidating the Exposure Bias in Diffusion Models
Mang Ning, Mingxiao Li, Jianlin Su +2
Diffusion models have demonstrated impressive generative capabilities, but their \textit{exposure bias} problem, described as the input mismatch between training and sampling, lack…