Generative Models

Enhance Image as You Like with Unpaired Learning IJCAI 2021 Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation ICLR 2021 Ensembling With Deep Generative Views CVPR 2021 Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NeurIPS 2021 Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021 Estimating Calibrated Individualized Survival Curves with Deep Learning AAAI 2021 Estimating High Order Gradients of the Data Distribution by Denoising NeurIPS 2021 Evaluating the Disentanglement of Deep Generative Models through Manifold Topology ICLR 2021 Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation ACL 2021 Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models NeurIPS 2021 ExGAN: Adversarial Generation of Extreme Samples AAAI 2021 Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace ICCV 2021 Explanations for CommonsenseQA: New Dataset and Models ACL 2021 Exploiting Aliasing for Manga Restoration CVPR 2021 Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions NeurIPS 2021 Exploiting Relationship for Complex-scene Image Generation AAAI 2021 Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing CVPR 2021 Exploiting Spatial Relation for Reducing Distortion in Style Transfer WACV 2021 Exploring Adversarial Fake Images on Face Manifold CVPR 2021 Exploring Emotional Prototypes in a High Dimensional TTS Latent Space Interspeech 2021 Exploring Metaphoric Paraphrase Generation CoNLL 2021 Exploring Non-Autoregressive Text Style Transfer EMNLP 2021 Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models ACML 2021 Expressive Text-to-Speech Using Style Tag Interspeech 2021 FACEGAN: Facial Attribute Controllable rEenactment GAN WACV 2021