Generative Models
8,597 papers
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Papers
Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks
CVPR 2021
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching
ICCV 2021
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
ICLR 2021
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
WACV 2021
Unsupervised Object Keypoint Learning using Local Spatial Predictability
ICLR 2021
Unsupervised Opinion Summarization with Content Planning
AAAI 2021
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks
ICCV 2021
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
WACV 2021
Using latent space regression to analyze and leverage compositionality in GANs
ICLR 2021
Using Question Answering Rewards to Improve Abstractive Summarization
EMNLP 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
ICLR 2021
Variational inference with continuously-indexed normalizing flows
UAI 2021
Variational Transformer Networks for Layout Generation
CVPR 2021
VariTex: Variational Neural Face Textures
ICCV 2021
VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts
CVPR 2021
Vector Quantized Models for Planning
ICML 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
ICLR 2021
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
AAAI 2021
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
ICLR 2021
Viewpoint-Agnostic Image Rendering
WACV 2021
Visually Informed Binaural Audio Generation without Binaural Audios
CVPR 2021
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
CVPR 2021
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
CoRL 2021
Volume Rendering of Neural Implicit Surfaces
NeurIPS 2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
ICCV 2021