第一个实验是通过 Observation Self-Guidance 对 \mathbf{y}_{ta} 进行预测,结果如下: Forecasting Using Observation Self-Guidance 当实验数据含有缺失值的情况下,作者也进行了 Forecasting 实验: Forecasting Using Observation Self-Guidance with Missing
⭐⭐Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models [SIGGRAPH 2023] [Official Code] [Diffusers Code] [Diffusers doc] [Project] [Replicate Demo] ⭐Improving Sample Quality of Diffusion Models Using Self-Attention Guidance [ICCV 2023] [Project] [Code...
ProxEdit: Improving Tuning-Free Real Image Editing With Proximal GuidanceWACV 20242023.06 Diffusion self-guidance for controllable image generationNeurIPS 20232023.06 Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated ImagesarXiv 20232023.06 ...
This is the official codebase for Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis Weixi Feng 1, Xuehai He 2, Tsu-Jui Fu1, Varun Jampani3, Arjun Akula3, Pradyumna Narayana...
https://tianhao-qi.github.io/DEADiff/ 22、Deformable One-shot Face Stylization via DINO Semantic Guidance 本文针对One-shot人脸风格化问题进行研究,关注外观和结构的同时考虑。探索了与传统的单幅图像风格参考不同的变形感知人脸风格化。方法核心是利用自监督视觉transformer,具体来说是DINO-ViT,建立起强大而一致...
2024/07 DehazeDiff DehazeDiff: When Conditional Guidance Meets Diffusion Models for Image DehazingLongyu Cheng, Xujin Ba, Yanyun Qu ISCAS2024 Paper/ 2024/05 - Image Dehazing based on Iterative-Refining Diffusion ModelJiarong Wang, Hao Hu ICIGP2024 Paper/ 2024/04 JCDM Joint Conditional Diffusion ...
Different guidance modalities we demonstrate are Human Identity, Segmentation Maps, Object Location, Image Style and Clip. Our implementation is based on the text-to-img model from Stable Diffusion and Imagenet Diffusion Model from OpenAI's guided diffusion. Stable Diffusion cd stable-diffusion-guided...
Diffusion Models with Implicit Guidance for Medical Anomaly Detection Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel [13th Mar., 2024] [arXiv, 2024] [Paper] [GitHub]Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly ...
We have provided default training configurations for reproducing our experiments. Users are required tochange the path vairablesto their own directory/data before running any experiments.More detailed guidances are provided as inline comments in the config files. ...
Universal Guidance for Diffusion ModelsThe official PyTorch implementation of Universal Guidance for Diffusion Models. This repository has python implementation of universal guidance algorithm that enables controlling diffusion models by arbitrary guidance modalities without the need to retrain any use-specific ...