VAE的encoder把数据编码到一个“隐空间”，这里的“隐空间”例如是一个符合N维的正态分布的向量空间。...
VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University 51171214020@stu.ecnu.edu.cn sunli@ee.ecnu.edu.cn Abstract VAE requires the standard Gaussian distribution as a...
Stage 1: train a hierarchical VQ-VAE to encode images to the aforementioned discrete latent space and get the latent map. This Encoder helps reconstruct images better. Stage 2: use PixelCNN like VQ-VAE. Train PixelCNN Autoregressive model to enable to fit codebook's distribution. Then we can ...
Video Variational Autoencoder (VAE) encodes videos into a low-dimensional latent space, becoming a key component of most Latent Video Diffusion Models (LVDMs) to reduce model training costs. However, as the resolution and duration of generated videos increase, the encoding cost of Video VAEs ...
Cooperating with the specific supervisions, the latent space is decomposed into subspaces with explicit semantics, which are relevant to the generative factors of hand pose, shape, appearance and others. The performance of the proposed da-VAE network is evaluated on RHD and STB dataset. The ...
摘要原文 Diffusion Probabilistic models have been shown to generate state-of-the-artresults on several competitive image synthesis benchmarks but lack alow-dimensional, interpretable latent space, and are slow at generation. On theother hand, Variational Autoencoders (VAEs) typically have access to...
Video Variational Autoencoder (VAE) encodes videos into a low-dimensional latent space, becoming a key component of most Latent Video Diffusion Models (LVDMs) to reduce model training costs. However, as the resolution and duration of generated videos increase, the encoding cost of Video VAEs bec...
Travel the CONDITIONING / CLIP encoded space. **Requires the correct batch_size in the latent_space node and the noise Node Inputs Same as LatentWalk: start, end, steps, factor, travel, blend, reflect. Node Outputs conditionings: A batch of conditioning vectors. Example + Workflow LatentWalk...
This repository is the official implementation of "Hyperbolic VAE via Latent Gaussian Distributions" accepted at NeurIPS 2023.AbstractWe propose a Gaussian manifold variational auto-encoder (GM-VAE) whose latent space consists of a set of Gaussian distributions. It is known that the set of the univ...
Imaging the 6D phase space of a beam in a particle accelerator in a single shot is currently impossible. Single shot beam measurements only exist for certain 2D beam projections and these methods are destructive. A virtual diagnostic that can generate an accurate prediction of a beam's 6D phase...