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Generative Models

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Papers

Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis CVPR 2021 PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering ICCV 2021 PISE: Person Image Synthesis and Editing With Decoupled GAN CVPR 2021 Pixel-Aligned Volumetric Avatars CVPR 2021 Pixel Codec Avatars CVPR 2021 pixelNeRF: Neural Radiance Fields From One or Few Images CVPR 2021 PixelSynth: Generating a 3D-Consistent Experience From a Single Image ICCV 2021 PixelTransformer: Sample Conditioned Signal Generation ICML 2021 Plan-then-Generate: Controlled Data-to-Text Generation via Planning EMNLP 2021 PlenOctrees for Real-Time Rendering of Neural Radiance Fields ICCV 2021 PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components UAI 2021 PLUGIn: A simple algorithm for inverting generative models with recovery guarantees NeurIPS 2021 Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data MLHC 2021 Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo CVPR 2021 PortaSpeech: Portable and High-Quality Generative Text-to-Speech NeurIPS 2021 Positional Encoding As Spatial Inductive Bias in GANs CVPR 2021 Posterior Collapse and Latent Variable Non-identifiability NeurIPS 2021 Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis CVPR 2021 Practical Single-Image Super-Resolution Using Look-Up Table CVPR 2021 Predicting Molecular Conformation via Dynamic Graph Score Matching NeurIPS 2021 Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models CoNLL 2021 Prior Based Human Completion CVPR 2021 Prior Image-Constrained Reconstruction using Style-Based Generative Models ICML 2021 Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking CVPR 2021 Probing Product Description Generation via Posterior Distillation AAAI 2021