2. 通用框架 2.1 去噪扩散概率模型（DDPMs）2.2 噪声条件评分网络（NCSNs）2.3随机微分方程（SDE）...
注意前面这个期望Eq，下标是q也就是前向过程的分布。这里写的比较简洁，而论文《Diffusion Models in Vision: A Survey》附录A写的比较清楚。不愧是TPAMI的综述。这篇论文第24页把Eq写的比较规范，参见公式（19）：一直推导到{L_{VLB}}的最后一步：你会发现这里面很多项都是同时具有t和t-1的，所以前面的 下...
Survey Diffusion Models in Vision: A Survey Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah arXiv 2022. [Paper] 10 Sep 2022 A Survey on Generative Diffusion Model Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li arXiv 2022. ...
for the articles cited in our survey, but also thank the "Tutorial on Denoising Diffusion-based Generative Modeling: Foundations and Applications" provided by NVIDIAtutorial. Besides, there's also two GitHub Repos for summarizing the up-to-date articles,Awesome-Diffusion-ModelsandWhat is the Score...
018 (2023-11-28) RichDreamer A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D https://arxiv.org/pdf/2311.16918.pdf 019 (2023-11-28) Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain ...
019 (2024-01-29) Using multiple Dirac delta points to describe inhomogeneous flux density over a cell boundary in a single-cell diffusion model https://arxiv.org/pdf/2401.16261.pdf 020 (2024-01-29) Diffutoon High-Resolution Editable Toon Shading via Diffusion Models ...
Text-to-image diffusion models particularly Stable Diffusion, have revolutionized the field of computer vision. However, the synthesis quality often deteriorates when asked to generate images that faithfully represent complex prompts involving multiple attributes and objects. While previous studies suggest th...
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Galactica: A Large Language Model for Science DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models AI and ML Accelerator Survey and Trends Large-batch Optimization for Dense Visual ...
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion Recently, significant advancements have been made in 3D generative models, however training these models across diverse domains is challenging and requires... G Kim,JH Jang,SY Chu...
I2vgen-xl: High-quality image-to-video synthesis via cascaded diffusion models Lumiere: A space-time diffusion model for video generation 3D Generation 3d shape generation and completion through point-voxel diffusion Diffusion probabilistic models for 3d point cloud generation A Conditional Point Diffus...