Generative Models

Faces a la Carte: Text-to-Face Generation via Attribute Disentanglement WACV 2021 FACIAL: Synthesizing Dynamic Talking Face With Implicit Attribute Learning ICCV 2021 Fair Attribute Classification Through Latent Space De-Biasing CVPR 2021 Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021 fairseq Sˆ2: A Scalable and Integrable Speech Synthesis Toolkit EMNLP 2021 FastNeRF: High-Fidelity Neural Rendering at 200FPS ICCV 2021 FastSpeech 2: Fast and High-Quality End-to-End Text to Speech ICLR 2021 F-Drop&Match: GANs With a Dead Zone in the High-Frequency Domain ICCV 2021 Featurized density ratio estimation UAI 2021 Few-shot Font Generation with Localized Style Representations and Factorization AAAI 2021 Few-Shot Image Generation via Cross-Domain Correspondence CVPR 2021 Few-Shot Learning via Feature Hallucination With Variational Inference WACV 2021 FFT-OT: A Fast Algorithm for Optimal Transportation ICCV 2021 Finetuning Pretrained Transformers into Variational Autoencoders EMNLP 2021 FlexAE: flexibly learning latent priors for wasserstein auto-encoders UAI 2021 Flow-based Generative Models for Learning Manifold to Manifold Mappings AAAI 2021 Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021 Flow Guided Transformable Bottleneck Networks for Motion Retargeting CVPR 2021 Flow-Guided Video Inpainting With Scene Templates ICCV 2021 Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation NeurIPS 2021 FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models NAACL 2021 Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis ICLR 2021 Focal Frequency Loss for Image Reconstruction and Synthesis ICCV 2021 Focus Attention: Promoting Faithfulness and Diversity in Summarization ACL 2021 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021