generative model

Non-Iterative Recovery From Nonlinear Observations Using Generative Models CVPR 2022 Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-Resolution WACV 2022 On Aliased Resizing and Surprising Subtleties in GAN Evaluation CVPR 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models NeurIPS 2022 On Causally Disentangled Representations AAAI 2022 On Incorporating Inductive Biases into VAEs ICLR 2022 On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022 On the expressivity of bi-Lipschitz normalizing flows ACML 2022 On the Limitations of Multimodal VAEs ICLR 2022 Open Vocabulary Extreme Classification Using Generative Models ACL 2022 Optimal Positive Generation via Latent Transformation for Contrastive Learning NeurIPS 2022 Orca: A Distributed Serving System for Transformer-Based Generative Models OSDI 2022 Palm up: Playing in the Latent Manifold for Unsupervised Pretraining NeurIPS 2022 Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer CVPR 2022 Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022 Physical Simulation Layer for Accurate 3D Modeling CVPR 2022 Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation CVPR 2022 PlaceNet: Neural Spatial Representation Learning with Multimodal Attention IJCAI 2022 PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions CVPR 2022 PluGeN: Multi-Label Conditional Generation from Pre-trained Models AAAI 2022 Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks ICML 2022 Poisson Flow Generative Models NeurIPS 2022 Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022 Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction AAAI 2022 Principal Component Flows ICML 2022