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Generative Models

1275 directly classified papers

Papers per year

Papers

Plug-and-Play Recipe Generation with Content Planning EMNLP 2022
Are Abstractive Summarization Models truly ‘Abstractive’? An Empirical Study to Compare the two Forms of Summarization EMNLP 2022
Arbitrary-Scale Image Synthesis CVPR 2022
SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis CVPR 2022
HairMapper: Removing Hair From Portraits Using GANs CVPR 2022
STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction CVPR 2022
Rethinking Controllable Variational Autoencoders CVPR 2022
Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation CVPR 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation CVPR 2022
Multi-View Consistent Generative Adversarial Networks for 3D-Aware Image Synthesis CVPR 2022
Dual-Path Image Inpainting With Auxiliary GAN Inversion CVPR 2022
Dressing in the Wild by Watching Dance Videos CVPR 2022
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation CVPR 2022
Make It Move: Controllable Image-to-Video Generation With Text Descriptions CVPR 2022
Robust Outlier Detection by De-Biasing VAE Likelihoods CVPR 2022
NeRF-Editing: Geometry Editing of Neural Radiance Fields CVPR 2022
Unpaired Cartoon Image Synthesis via Gated Cycle Mapping CVPR 2022
Dynamic Dual-Output Diffusion Models CVPR 2022
Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization CVPR 2022
Deep Equilibrium Approaches to Diffusion Models NIPS 2022
UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator NIPS 2022
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NIPS 2022
Flowification: Everything is a normalizing flow NIPS 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data NIPS 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data NIPS 2022