Multi-objective generationDiffusion modelPareto optimalityGenerative modelRecent advancements in the realm of deep generative models focus on generating samples that satisfy multiple desired properties. However, prevalent approaches optimize these property functions independently, thus omitting the trade-offs ...
We propose a new bilateral denoising diffusion model (BDDM) that parameterizes both the forward and reverse processes with a schedule network and a score network, which can train with a novel bilateral modeling objective. We show that the new surrogate objective can achieve a lower bound of ...
New diffusion models are proposed for the OBIM problem, which are the One-time impression (OI) model [34], Multi-time impression (MI) model [35] and Logistic influence (LI) model [36]. • One-time impression (OI) model. [34] presented the OI models, which specify that given a ...
2024/07 PILOT Coherent and Multi-modality Image Inpainting via Latent Space OptimizationLingzhi Pan, Tong Zhang, Bingyuan Chen, Qi Zhou, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann arXiv2024 Paper/Code 2024/07 Diffree Diffree: Text-Guided Shape Free Object Inpainting with Diffusion ModelLirui ...
从Stable Diffusion1 说起: 根据上图。我们可以发现整体分成三个模块: 1)VAE:特征压缩模块。 2)扩散模型Diffusion Model 模块。 3)以及带条件的Final-LDM 模块(CorssAttention)。VAE:特征压缩模块:首先…
022 (2024-01-29) EmoDM A Diffusion Model for Evolutionary Multi-objective Optimization https://arxiv.org/pdf/2401.15931.pdf 023 (2024-01-28) CPDM Content-Preserving Diffusion Model for Underwater Image Enhancement https://arxiv.org/pdf/2401.15649.pdf ...
Thus, we can summarize the learnable parameters for the model based on shearlet responses as θ={h1,P,{λj,k}j,k,{wj,k}j,k}. 4 Numerical Results In this section, we first detail the setup for numerical optimization. In particular, we discuss how we can learn the one-dimensional GMM...
A structure-based framework for selective inhibitor design and optimization Yurong Zou Tao Guo Lijuan Chen Communications Biology (2025) Diffusion model for multi-scale ship object detection and recognition in remote sensing images Lei Chen Bin Wang Guandian Li Signal, Image and Video Processing...
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion Zixiang Zhao1,2 Haowen Bai1 Yuanzhi Zhu2 Jiangshe Zhang1∗ Shuang Xu3 Yulun Zhang2 Kai Zhang2 Deyu Meng1,5 Radu Timofte2,4 Luc Van Gool2 1Xi'an Jiaotong University 2Computer Vision Lab, ETH ...
diffusion model 需要比较多资源,如果实验室的显卡≥24GB,那还是玩的来的。 大致有两个方面可以做,每一个都值得研究: ①训练。就是从头训一个diffusion model,那就需要数张显卡,越多越好,batchsize越大效果越好,输入图片尺寸越大越吃显存。可以参考latent diffusion model,在latent space上做,使得输入尺寸很小≤...