本文将Diffusion Models for text任务建模为离散域的任务。因为Diffusion原本是针对图像生成的模型，即原本...
LatentOps: Composable Text Controls in Latent Space with ODEs continuous latent diffusion model 基于VAE + diffusion 的思想,从 Controllable and Compositional Generation with Latent-Space Energy-Based Models 中获得启发。 Optimus + ODE sampler Motivation: 本文针对可控生成。首先finetune LM 的方案需要为每个...
Diffusion Models for Text.扩散模型在连续数据域中取得了巨大成功,产生了具有最先进样本质量的图像和音频。为了处理离散数据,过去的工作研究了离散状态空间上的文本扩散模型,该模型定义了离散数据上的破坏过程(例如,每个令牌都有一定概率被破坏为吸收或随机令牌)。在本文中,我们专注于文本的连续扩散模型,据我们所知,我...
26、Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation 传统的文本到图像扩散模型在生成准确的人物图像方面存在困难,例如不自然的姿势或不成比例的肢体。现有方法大多通过在模型微调阶段添加额外的图像或人体中心先验(例如姿势或深度图)来解决这个问题。本文探讨...
6、Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation 传统的文本到图像扩散模型在生成准确的人物图像方面存在困难,例如不自然的姿势或不成比例的肢体。现有方法大多通过在模型微调阶段添加额外的图像或人体中心先验(例如姿势或深度图)来解决这个问题。本文探讨...
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models GLIDE(Guided Language to Image Diffusion for Generation and Editing) 时间:22/03 机构:OpenAI TL;DR 本文研究使用Diffusion Model做图像生成过程,如何更好地加入conditional信息。主要尝试两种方法: CLIP-guidance, Classifi...
17、MACE: Mass Concept Erasure in Diffusion Models https://github.com/Shilin-LU/MACE 18、MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis https://migcproject.github.io/ 19、One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications ...
2.1. Video Generation Models Since the advent of modern deep learning, video generation and prediction has been a topic of ongoing interest; see [1] and this paper’s introduction. Videos can be generated based on side information of various types, such as images [30,31], text [32,33,34...
Accelerating Diffusion Models via Early Stop of the Diffusion Process Truncated Diffusion Probabilistic Models 2. Improved Likelihood 2.1. Noise Schedule Optimization Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing Improved denoising diffusion probabilistic models Variationa...
models.py predict.py requirements.txt setup.py tango.py train.py train.sh Repository files navigation README License Tango: LLM-guided Diffusion-based Text-to-Audio Generation and DPO-based Alignment 🔥🎤 We have released TangoFlux, the new SOTA in text-to-audio generation. Now you can ge...