三十六、Diffusion Model-Based Image Editing: A Survey 2024.02 三十七、Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers 2024.03 三十八、It's All About Your Sketch: Democratising Sketch Control in Diffusion Models 2024.03 三十九、SORA: Video generation models as world simulators 2024.03...
在发布Emu后,近日,META又发布了两个非常惊艳的工作:EmuEdit、EmuVideo。文本将对EmuEdit相关技术进行总结。 1 核心思想 作者将intruction-base image editing任务建模为生成任务,并用diffusion model进行求解。核心创新点有两个 详细定义了instruction-based image edit处理的任务,并设计了一个高效高质量的数据构建方法...
Reference-based Image Composition with Sketch via Structure-aware Diffusion ModelCVPR workshop 20232023.04 PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image EditorCVPR 20242023.03 Imagen editor and editbench: Advancing and evaluating text-guided image inpaintingCVPR 20232022.12 ...
Denoising diffusion models have emerged as a powerful tool for various image generation and editing tasks, facilitating the synthesis of visual content in an unconditional or input-conditional manner. The core idea behind them is learning to reverse the process of gradually adding noise to images, ...
Hence, it is crucial to de- velop a more intuitive approach to ease fine-grained image editing for novices and non-native speakers. In this work, we propose an exemplar-based image edit- ing approach that allows accurate semantic manipulation on the image conten...
Diffusion Model+Anything！(扩散模型+任何东西！)2022年的下半年注定是扩散模型发展最为迅猛和关键的半年。在经过前一年的不懈探索后，扩散模型的理论研究逐渐平稳，研究的方向逐步转向了大规模的应用实践。在这半年，在这段时间里，我们见证了众多领域的突破性应用，包括但不限于：Image Restoration的爆发应用：...
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 ...
Frido: Feature Pyramid Diffusion for Complex Image Synthesis. DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Imagic: Text-Based Real Image Editing with Diffusion Models UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Imag...
扩散模型(Diffusion Model)最新综述! 本综述来自西湖大学李子青实验室、香港中文大学Pheng-Ann Heng和浙江大学陈广勇团队,对现有的扩散生成模型进行了全面的回顾。 本文首先提出了diffusion model改进算法的细化分类与深度解析,同时对diffusion model的应用进行了系统的回顾,最后率先汇总领域内benchmarks。这也促进了后续工作...
所以实验中使用了 classifier-guided model 一样的网络结构和超参数。即是这些参数对于 classifier-free guidance 来说还不是最优的,但依然可以取得了更有竞争力的性能。 4.1 变化 classifier-free guidance 的强度 作者在 64x64 和 128x128 的分辨率下,在 Imagenet 中训练了 classifier-free guidaned 模型,证明...