To holistically improve the quality, consistency, and efficiency of image-to-3D tasks, we propose a cross-domain diffusion model that generates multi-view normal maps and the corresponding color images. To ensure consistency, we employ a multi-view cross-domain attention mechanism that facilitates ...
In one aspect, a method includes optionally receiving input text that specifies a particular object class; receiving an input image in a source domain depicting an object belonging to the particular object class; and generating, by using the diffusion model and a latent spatial feature predictor, ...
1. Cross-Domain Diffusion在3D生成中的应用 Cross-Domain Diffusion技术是Wonder3D的核心,它解决了从单张2D图像中生成3D模型时面临的几何不一致性和细节缺失问题。该技术通过生成一致的多视图法线图(normal maps)和相应的彩色图像(color images),并利用新颖的法线融合方法,实现了快速且高质量的3D重建。 多视图生成:Wo...
In this study, we propose the Cross-Domain Trajectory EDiting (xTED) framework that employs a specially designed diffusion model for cross-domain trajectory adaptation. Our proposed model architecture effectively captures the intricate dependencies among states, actions, and rewards, as well as the ...
我们的实验表明,在各种数据集(CelebA-HQ, COCO和ImageNet)上,配备具有特殊提示的Stable Diffusion优于最先进的inversion方法,并且TF-ICON在多种视觉领域中超过了先前的基线。代码地址: GitHub - Shilin-LU/TF-ICON: [ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official...
Collaborative multicue fusion using the cross-diffusion process for salient object detection Salient object detection is very useful in a large variety of image and vision-related applications. A recent trend in salient object detection is to explore novel top-down visual cues and combine them with...
Hidden Markov ModelThe Fokker-Planck equation is widely used to describe the time evolution of stochastic systems in drift-diffusion processes. Yet, it does not differentiate two types of uncertainties: aleatory uncertainty that is inherent randomness and epistemic uncertainty due to lack of perfect ...
However, these models are retrained from the pretrained diffusion model on tailored datasets, which can damage the rich prior of the model. As a result, these models have limited compositional abilities be- yond their training domain and still require significant com-...
2022.8 We recently proposePITIwhich is a SOTA image-to-image translation method based onprtrained diffusion model. 2021.5 We recently proposeCoCosNet v2, which brings more stunning results for high-resolution images. Welcome to have a try. ...
To address these shortcomings, we propose a channel-enhanced contrastive cross-domain sequential recommendation model (C3DSR). To be specific, (1) we design a feature extractor, which extends attention to the channel dimension, to extract the user’s channel feature and capture the temporal ...