【AI论文学习笔记】大脑信号重建图像 High-resolution image reconstruction with LDM from human brain activity Jayce Ning 北邮通信硕士在读10 人赞同了该文章 导读 新智元和机器之心都提到了这篇文章,乍一看是把 stable diffusion 和脑机接口技术融合到一块了。这篇已被CVPR 2023接收。正好选了脑机接口的课,这...
Snap Inc.'s research team recently launched an AI image generator named SnapGen, capable of generating high-resolution images directly on high-end smartphones. This technology allows users to enjoy an efficient and convenient image creation experience on their phones, breaking the limitations of trad...
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Computational challenges arise when applying deep learning segmentation techniques on those ultra-high resolution images. 为了加快速度,满足内存要求或减少数据传输延迟,一般需要对图像进行下采样,并在较低的分辨率下训练分割模型。然而,这种统一降采样是在一个不现实的假设下进行的,即所有的像素都是同等重要的,这...
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The HRNet maintains high-resolution representations through the whole process. We start from a high-resolution convolution stream, gradually add high-to-low resolution convolution streams one by one, and connect the multi-resolution streams in parallel. The resulting network consists of se...
New stable diffusion model (Stable Diffusion 2.0-v) at 768x768 resolution. Same number of parameters in the U-Net as 1.5, but uses OpenCLIP-ViT/H as the text encoder and is trained from scratch. SD 2.0-v is a so-called v-prediction model. The above model is finetuned from SD ...
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For these regions, pixels in both high resolution and low resolution images have the same color. Therefore, if the low resolution pixels are available, the high resolution pixels need not be transmitted. The typical prediction is a labeling of the high resolution pixels that do not need to be...
Scientists at the Max Planck Institute for Intelligent Systems in Tübingen have used artificial intelligence to create a high-definition version of a low resolution image. While not pixel-perfect, the system produces a better ...