在本文中,我们提出了ProbTalk3D,这是一种使用两阶段VQ - VAE模型和情感丰富的面部动画数据集3DMEAD进行情感可控的非确定性语音驱动3D面部动画合成的神经网络方法。我们通过客观、定性的评估以及感知用户研究,对我们的模型与近期的3D面部动画合成方法进行了广泛的比较分析。我们强调了一些更适合评估随机输出的客观指标,并...
作者通过证明了此方法可以在20秒内生成高质量、多样化和无Janus problem 的3D内容,比以前基于优化的方法(需要1到10个小时)快两个数量级。 FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores 该文提出了一种名为FlashFFTConv的优化方法,用于优化长序列任务中的卷积模型。FlashFFTConv通过...
However, applying them to non-grid-like data like 3D meshes presents many challenges. In our work, we overcome the challenges by first reducing the face mesh to a 2D regular image representation and then exploiting one prominent state-of-the-art generative approach. The approach uses a Vector...
Apache-2.0 license !! The codebase will not actively maintained !! Morphology-preserving Autoregressive 3D Generative Modelling of the Brain This codebase was used in generating the results of the paper Morphology-preserving Autoregressive 3D Generative Modelling of the Brain which was accepted at the...
北京交通大学自然语言处理实验室四年级博士生,导师为张玉洁教授,研究方向为可控文本生成、复述生成、故事生成。在澜舟科技实习期间主要从事长文本生成、营销文案生成等课题。 0 『写在前面』 近年来,多个大规模预训练语言模型 GPT、BART、T5 等被提出,这些预训练模型在自...
Medical diffusion–denoising diffusion probabilistic models for 3D medical image generation (2022) ZhangZ.et al. SynTEG: A framework for temporal structured electronic health data simulation J Am Med Inform Assoc (2020) WangZ.et al. PromptEHR: Conditional electronic healthcare records generation with...
Train the 3D VQ-VAE with python train_ct_vqgan.py --config configs/default_ct_256_vqgan_config.py Train Stage 2 Train an Absorbing Diffusion sampler with python train_sampler.py --config configs/default_absorbing_config.py By default this sets up the 2D and 3D VQ-VAEs with the above ...
3D face synthesis; 3D body synthesis; artificial neural networks; generative modeling; 2D regular representation; autoencoders; autoregressive models1. Introduction In the last two decades, the use and applications of virtual 3D models in the real world have risen exponentially. There are many ...
3.1关系模型的基本概念关系模型:用称为关系的二维表来表示数据,其数据模型就称为关系模型。二维表的行称为元组,列以属性开头,对于每个属性,都有元组的一个分量与之对应。(例如P39图3.1)3.1.1属性:属性就是关系的标题栏中各列的名字,描述了该列各数据项的含义。3.1.2模式:关系的名称和关系的属性集称为关系的模...
We present VideoGPT: a conceptually simple architecture for scaling likelihood based generative modeling to natural videos. VideoGPT uses VQ-VAE that learns downsampled discrete latent representations of a raw video by employing 3D convolutions and axial