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| 3D Facial Expression Generator Based on Transformer | vae | |
| 3D U-Net Brain Tumor Segmentation Using | vae | Skip Connection |
| Action-Conditioned 3D Human Motion Synthesis with Transformer | vae | |
| Bayes-Factor- | vae | : Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement |
| Blood-contaminated endoscopic image restoration based on residual VQ- | vae | with cascaded structure |
| Center- | vae | with discriminative and semantic-relevant fine-tuning features for generalized zero-shot learning |
| Cloud- | vae | : Variational autoencoder with concepts embedded |
| Co- | vae | : Drug-Target Binding Affinity Prediction by Co-Regularized Variational Autoencoders |
| Crossing Nets: Combining GANs and | vae | s with a Shared Latent Space for Hand Pose Estimation |
| CVGAN: Image Generation with Capsule Vector- | vae | |
| Deep Generative Modelling: A Comparative Review of | vae | s, GANs, Normalizing Flows, Energy-Based and Autoregressive Models |
| Disentangling high-level factors and their features with conditional vector quantized | vae | s |
| Disentangling Latent Space for | vae | by Label Relevant/Irrelevant Dimensions |
| Disentangling The Spatial Structure and Style in Conditional | vae | |
| dp | vae | s: Fixing Sample Generation for Regularized VAEs |
| Efficient image encryption and compression based on a | vae | generative model |
| EmoMusicTV: Emotion-Conditioned Symbolic Music Generation With Hierarchical Transformer | vae | |
| Generalized Zero-Shot Learning With Multi-Channel Gaussian Mixture | vae | |
| Generating Diverse Structure for Image Inpainting With Hierarchical VQ- | vae | |
| Generating High-Resolution 3D Faces Using VQ- | vae | -2 with PixelSNAIL Networks |
| Generating Mesh-based Shapes From Learned Latent Spaces of Point Clouds with | vae | -GAN |
| Grad2 | vae | : An Explainable Variational Autoencoder Model Based on Online Attentions Preserving Curvatures of Representations |
| Handling incomplete heterogeneous data using | vae | s |
| Improving Generative Modelling in | vae | s Using Multimodal Prior |
| Joint Disentanglement of Labels and Their Features with | vae | |
| Learning Traces by Yourself: Blind Image Forgery Localization via Anomaly Detection With ViT- | vae | |
| Learning | vae | with Categorical Labels for Generating Conditional Handwritten Characters |
| Lossy Image Compression with Quantized Hierarchical | vae | s |
| Modeling Facial Geometry Using Compositional | vae | s |
| MT- | vae | : Learning Motion Transformations to Generate Multimodal Human Dynamics |
| Multi-Angle Point Cloud- | vae | : Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction |
| Multi- | vae | : Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering |
| MUSE- | vae | : Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction |
| MUSE- | vae | : Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction |
| Passive Sonar Target Classification Using Deep Generative beta- | vae | |
| Private-Shared Disentangled Multimodal | vae | for Learning of Latent Representations |
| QARV: Quantization-Aware ResNet | vae | for Lossy Image Compression |
| Robust outlier detection by de-biasing | vae | likelihoods |
| RV- | vae | : Integrating Random Variable Algebra into Variational Autoencoders |
| S3 | vae | : Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation |
| Self-Organized Variational Autoencoders (Self- | vae | ) for Learned Image Compression |
| Semantic Preserving Hash Coding Through | vae | -GAN |
| Semi-supervised Generalized | vae | Framework for Abnormality Detection using One-Class Classification, A |
| SG- | vae | : Scene Grammar Variational Autoencoder to Generate New Indoor Scenes |
| SW- | vae | : Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping |
| Task-Generic Hierarchical Human Motion Prior using | vae | s |
| Towards controllable image descriptions with semi-supervised | vae | |
| Two-Stream Deep Fusion Network Based on | vae | and CNN for Synthetic Aperture Radar Target Recognition |
| vae | , Variational Autoencoder |
| Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN- | vae | Architecture |
| VG- | vae | : A Venatus Geometry Point-Cloud Variational Auto-Encoder |
| Video Instance Segmentation Tracking With a Modified | vae | Architecture |
| VV-Net: Voxel | vae | Net With Group Convolutions for Point Cloud Segmentation |
| Zero- | vae | -GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning |
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