First, the source image with target-view condition and the target image are both mapped to the shared latent variable space by two encoders. Second, we sample a variable from the shared variable space as the input of a designed decoder for the low-resolution target image generation. Third, ...
Multi-View Image Generation from a Single-View https://www.arxiv.org/pdf/1704.04886 本文使用对抗网络将单视角图像转出多视角图像。和 Beyond Face Rotation 类似,都是 coarse to fine,只不过网络结构一个是并联一个是串联。 网络结构如下所示: 效果图如下: 由图像结果可以看出,细节还是有些失真。而 Beyond ...
The present invention discloses a method for multi-view images from the input image to produce a multi-view image generation unit (100). 所述产生单元(100)包括:边缘检测装置(102),用于检测输入图像中的边缘;深度映射产生装置(104),用于根据所述边缘为输入图像产生深度映射,与所述边缘对应的深度映射的第...
摘要:这篇论文处理了一个具有挑战的问题——如何仅从单个视角的输入来产生多个视角衣着图片。为了由输入生成具有真实感的不同视角的图片,我们提出了一个新的图片生成模型被称为VariGANs,它结合了变分推理和对抗生成网络(GANs)的优势。我们提出的VariGANs模型以从粗糙到精细的方式来生成目标图片,而不是会带来严重的伪造...
Multi-Viewpoint-Image-generation This project investigates three deep convolutional architectures to generate multiple views from a given single view of an object in an arbitrary pose. Traditional CV techniques can handle affine transformations such as rotation, translation, scaling well. However, generati...
An efficient depth map preprocessing method based on structure-aided domain transform smoothing for 3D view generation Depth image-based rendering (DIBR), which is used to render virtual views with a color image and the corresponding depth map, is one of the key techniques ... L Wei,L Ma,B...
Multi-view image generation 专利名称：Multi-view image generation 发明人：Marc Joseph Rita Op De Beeck,Fabian Edgar Ernst 申请号：US10567205 申请日：20040728 公开号：US20060232666A1 公开日：20061019 专利内容由知识产权出版社提供 专利附图：摘要：A multi-view image generation unit () for generating a...
https://www.researchgate.net/publication/347731732_Multi-view_frontal_face_image_generation_A_survey 摘要 不同视角的人脸图像降低了人脸识别的精度,人脸正面化图像生成是人脸识别领域中重要的研究课题。为深入了解人脸正面化生成模型的发展,把握当前研究的热点和趋势,针对现有基于3D模型、基于深度学习和基于混合模型的...
How to generate multi-view images with realistic-looking appearance from only a single view input is a challenging problem. In this paper, we attack this problem by proposing a novel image generation model termed VariGANs, which combines the merits of the variational inference and the Generative ...
主要是对naive multi-view image generation的几方面改进,解决的问题和贡献: zero123是每次吐出一张图,由于2D diffusion的单图生成本质,这并没有让网络去关注多张图像的一致性。本文让网络一次生成多张图,camera view是设计好的,希望网络能学到3D一致性。