Co-occurring keywords · papers mentioning both
Papers
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
ICLR 2021
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
NeurIPS 2021
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
ICCV 2021
RoMa at SemEval-2021 Task 7: A Transformer-based Approach for Detecting and Rating Humor and Offense
SemEval 2021
Score-based Generative Modeling in Latent Space
NeurIPS 2021
Set Prediction in the Latent Space
NeurIPS 2021
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
ICCV 2021
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
CVPR 2021
Spatially-Invariant Style-Codes Controlled Makeup Transfer
CVPR 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
NeurIPS 2021
STEM: An Approach to Multi-Source Domain Adaptation With Guarantees
ICCV 2021
StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis
CVPR 2021
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
CVPR 2021
Surrogate Gradient Field for Latent Space Manipulation
CVPR 2021
Talk-To-Edit: Fine-Grained Facial Editing via Dialog
ICCV 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
ICML 2021
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement
AAAI 2021
Toward a Visual Concept Vocabulary for GAN Latent Space
ICCV 2021
Towards Vivid and Diverse Image Colorization With Generative Color Prior
ICCV 2021
Trajectory Prediction With Latent Belief Energy-Based Model
CVPR 2021
Unpaired Image-to-Image Translation via Latent Energy Transport
CVPR 2021
Unsupervised Image Generation With Infinite Generative Adversarial Networks
ICCV 2021
Unsupervised Learning of Visual 3D Keypoints for Control
ICML 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
ACL 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
ICLR 2021