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latent space

1,038 papers

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