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Generative Models

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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