It is a much larger model. In the AI world, we can expect it to be better. The total number ofparametersof the SDXL model is 6.6 billion, compared with 0.98 billion for the v1.5 model. The SDXL pipeline consists of a base model and a refiner model. The SDXL model is, in practic...
In this paper, we present a novel approach to improve reward model quality by generating synthetic preference data, thereby augmenting the training dataset with on-policy, high-quality preference pairs. Motivated by the promising results of Best-of-N sampling strategies in language model training, w...
The research on diffusion model is divided into the following three categories: (1) Classical Models; (2) Context-aware Models; (3) Deep learning-based diffusion Models. Table 1. Comparison of the properties of classical diffusion models. Classical diffusion modelCategoriesSocial networkSubmodularity...
Diffusion model 在它能做的任务上效果好于 GAN. 当然,效果不好于 GAN 的也发不出paper, 所以这句话堪比废话。我们可以说,目前 diffusion model 在 image, audio 等主流领域中的更接近于纯生成模型 (unconditional generation, text to image, text to speech) 而非regression模型的问题上,上限高于 GAN. 这有...
每一个时间步的编码器不需要学习，它是一个Linear Gaussian model；编码器的高斯分布参数会随时间变化，...
The seminal paper that borrowed ideas from Statistical physics to create a generative model for image generation was from 2015, “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”, [1]. We start with the thermodynamic process of diffusion for motivation. ...
This paper aims at establishing a theoretical model to describe the inhomogeneous and time-dependent process of chloride ion diffusion in concrete. Firstly the state of the art in research on diffusion of chloride ion in concrete is reviewed and problems remained to be studied are pointed out, ...
This is a collection of research papers for Diffusion Model in RL. And the repository will be continuously updated to track the frontier of Diffusion RL.Welcome to follow and star!Table of ContentsAwesome Diffusion Model in RL Table of Contents Overview of Diffusion Model in RL Advantage ...
In this paper, we proposed a conditional diffusion model, PMDM which enables 3D small-molecule ligand generation conditioned on specific target proteins in a one-shot manner by incorporating the diffusion framework. PMDM utilizes a dual equivariant encoder to handle different (global & local) molecu...
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Citation If you find our work useful for your research, please consider citing our paper. 😊 @inproceedings{ruan2022mmdiffusion, author = {Ruan, Ludan and Ma, Yiyang and Yang, Huan and He, Huiguo...