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Generative Models

1275 directly classified papers

Papers per year

Papers

Projected GANs Converge Faster NIPS 2021
Low-Rank Subspaces in GANs NIPS 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks NIPS 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions NIPS 2021
Robust Compressed Sensing MRI with Deep Generative Priors NIPS 2021
Deep Extrapolation for Attribute-Enhanced Generation NIPS 2021
PortaSpeech: Portable and High-Quality Generative Text-to-Speech NIPS 2021
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles NIPS 2021
Adaptive Beam Search Decoding for Discrete Keyphrase Generation AAAI 2021
TextGAIL: Generative Adversarial Imitation Learning for Text Generation AAAI 2021
A Controllable Model of Grounded Response Generation AAAI 2021
Stylized Dialogue Response Generation Using Stylized Unpaired Texts AAAI 2021
What are GANs?: Introducing Generative Adversarial Networks to Middle School Students AAAI 2021
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract) AAAI 2021
Change or Not: A Simple Approach for Plug and Play Language Models on Sentiment Control AAAI 2021
Deep Style Transfer for Line Drawings AAAI 2021
Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches CVPR 2021
Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer CVPR 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning CVPR 2021
Deep Learning in Latent Space for Video Prediction and Compression CVPR 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning CVPR 2021
Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes CVPR 2021
Fair Attribute Classification Through Latent Space De-Biasing CVPR 2021
OCONet: Image Extrapolation by Object Completion CVPR 2021
Physically-Aware Generative Network for 3D Shape Modeling CVPR 2021