Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...
Abstract: Sparse-view sampling for computed tomography (CT) reduces radiation exposure in medical imaging but suffers from severe artifacts due to ill-posed nature of under-sampled reconstruction.
Large denoising diffusion models, such as Stable Diffusion, have been trained on billions of image-caption pairs to perform text-conditioned image generation. As a byproduct of this training, these ...
Implementation of contractive diffusion sampling process to improve policies for offline policy learning. CDP aims to improve diffusion policy's sample efficiency and general performance by enforcing ...
The following article summarizes how to introduce the AUTOMATIC 1111 version of Stable Diffusion web UI to the local environment or Google Colaboratory. Image generation AI ``Stable Diffusion'' works ...
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