To plug-and-play diffusion features, please follow these steps: Setup Feature extraction Running PnP TI2I Benchmarks Setup Our codebase is built onCompVis/stable-diffusionand has shared dependencies and model a
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationarxiv.org/abs/2211.12572 项目网站:https://pnp-diffusion.github.io/。 封面图来自https://www.artstation.com/artwork/Ya4WAb。 摘要 大规模的文本到图像生成(text-to-image generative)模型,是生成式 AI 发展例程中的革命性的...
"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool. yuanzhi-zhu.github.io/DiffPIR/ Topics diffusion-models training-free image-reatoration Resources Readme License MIT license Activi...
项目地址:BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion (tencentarc.github.io) GitHub:TencentARC/BrushNet: The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion" (github.com) 简介 Image...
(PAIR), 2U of Oregon, 3UT Austin https://github.com/Picsart-AI-Research/Specialist-Diffusion Abstract Diffusion models have demonstrated impressive capabil- ity of text-conditioned image synthesis, and broader appli- cation horizons are emerging ...
AI, S.: Stable diffusion version 2 (2022).https://github.com/Stability-AI/stablediffusion Anciukevičius, T., et al.: Renderdiffusion: image diffusion for 3d reconstruction, inpainting and generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp....
Large-scale diffusion models have achieved remarkable performance in generative tasks. Beyond their initial training applications, these models have proven their ability to function as versatile plug-and-play priors. For instance, 2D diffusion models can serve as loss functions to optimize 3D implicit ...
Experiments on SD v1.5 show that SUN leads to an overall speedup of more than 10 times compared to the baseline 25-step DPM-solver++, and offers two extra advantages: (1) training-free integration into various fine-tuned Stable-Diffusion models and (2) state-of-the-art FIDs of the ...
thu-cvml/texturediffusion 11 Tasks Edit AddRemove Datasets PIE-Bench Results from the Paper Edit Ranked #12 onText-based Image Editing on PIE-Bench Get a GitHub badge TaskDatasetModelMetric NameMetric ValueGlobal RankResultBenchmark Text-based Image EditingPIE-BenchDDIM Inversion+Plug-and-PlayCLIP...
Specifically, BetterDepth is a conditional diffusion-based refiner that takes the prediction from pre-trained MDE models as depth conditioning, in which the global depth layout is well-captured, and iteratively refines details based on the input image. For the training of such a refiner, we ...