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Generative Models

6381 directly classified papers

Papers per year

Papers

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation CVPR 2020
Generating 3D People in Scenes Without People CVPR 2020
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction CVPR 2020
Editing in Style: Uncovering the Local Semantics of GANs CVPR 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer CVPR 2020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving CVPR 2020
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation CVPR 2020
The Amazing World of Neural Language Generation EMNLP 2020
Acrostic Poem Generation EMNLP 2020
The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation EMNLP 2020
Fourier Spectrum Discrepancies in Deep Network Generated Images NIPS 2020
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data NIPS 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models NIPS 2020
Neural Star Domain as Primitive Representation NIPS 2020
Self-Supervised Generative Adversarial Compression NIPS 2020
Listening to Sounds of Silence for Speech Denoising NIPS 2020
ShapeFlow: Learnable Deformation Flows Among 3D Shapes NIPS 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces NIPS 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images NIPS 2020
Generative Neurosymbolic Machines NIPS 2020
Practical No-box Adversarial Attacks against DNNs NIPS 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows NIPS 2020
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation NIPS 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds NIPS 2020