扩散模型(Diffusion Model)论文汇总 最近随着sora等工具的发布,AIGC领域迎来了一波又一波的研究热潮,调研23年的CVPR,AAAI,ICCV等重applications的会议,似乎贴合AIGC的工作的录用率相比于其他领域更容易accept,大家开始考虑:如何迎合这一波春风,思考为什么这个领域能够引起这么多的关注,我未来的工作又能够有哪些亮点来贴合现...
实验结果表明,方法仅使用少量时间步长就实现出色的性能,例如在ImageNet 64×64上使用仅四个步骤,FID得分达到了17.86,而使用DDIM则为138.66。 9、DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport 从扩散概率模型(DPMs)中进行采样可以看作是一个分段分布转换,通常需要反扩散轨迹的几百或几千...
The SIR model can be regarded as a generalization of the IC model, as the latter appears to be a special case of SIR in which β=1. In practice, the diffusion process may be repeated many times and the mean of the obtained results may be used to estimate the influence of initial ...
实验结果表明,方法仅使用少量时间步长就实现出色的性能,例如在ImageNet 64×64上使用仅四个步骤,FID得分达到了17.86,而使用DDIM则为138.66。 9、DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport 从扩散概率模型(DPMs)中进行采样可以看作是一个分段分布转换,通常需要反扩散轨迹的几百或几千...
8、AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration 扩散模型生成一张图像通常需要大量的时间步骤(推理步骤)。为加速这个繁琐的过程,统一地减少步骤被认为是扩散模型的不争之论的原则。然而,这样的统一假设在实践中并不是最优解;也就是说,对于不...
28、CosmicMan: A Text-to-Image Foundation Model for Humans 提出CosmicMan,一种用于生成高保真人体图像的文本到图像基础模型。与当前困在人体图像质量和文本-图像不对齐困境中的通用基础模型不同,CosmicMan能够生成具有细致外貌、合理结构和精确文本-图像对齐的逼真人体图像,同时还提供详细的密集描述。CosmicMan关键在于...
Finally, we highlight open-source diffusion model tools and consider the future applications of diffusion models in bioinformatics. Key points Diffusion models are a generative artificial intelligence technology that can be applied in natural language processing, image synthesis and bioinformatics. Diffusion...
MDM: Molecular Diffusion Model for 3D Molecule Generation Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong arXiv 2022. [Paper] 13 Sep 2022 Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu1, Chengyue Gong1, Xingchao Liu, Mao Ye, Qiang Liu NeurIPS 2022...
We can map data to a noise distribution (the prior) with an SDE and reverse this SDE for generative modeling: Source Denoising diffusion probabilistic models (DDPMs) Denoising diffusion probabilistic models (DDPMs) are a specific type of diffusion model that focuses on probabilistically removing ...
Train your own PriorMDMDoubleTake (long motions) HumanML3D best model Retraining HumanML3D is not needed as we use the original trained model from MDM. Yet, for completeness this repository supports this training as well: python -m train.train_mdm --save_dir save/my_humanML_bestmodel -...