Generative Models

Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021 Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression CVPR 2021 Learning Signed Distance Field for Multi-View Surface Reconstruction ICCV 2021 Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences NAACL 2021 Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring CVPR 2021 Learning Task-General Representations with Generative Neuro-Symbolic Modeling ICLR 2021 Learning Temporal Point Processes with Intermittent Observations AISTATS 2021 Learning to Compose Visual Relations NeurIPS 2021 Learning to Generate 3D Shapes with Generative Cellular Automata ICLR 2021 Learning To Remove Refractive Distortions From Underwater Images ICCV 2021 Learning To Stylize Novel Views ICCV 2021 Learning to Synthesize Data for Semantic Parsing NAACL 2021 Learning with Holographic Reduced Representations NeurIPS 2021 Legacy Photo Editing With Learned Noise Prior WACV 2021 Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving WACV 2021 Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering EACL 2021 Lexicon Learning for Few Shot Sequence Modeling ACL 2021 Lifting 2D StyleGAN for 3D-Aware Face Generation CVPR 2021 Likelihood-free Out-of-Distribution Detection with Invertible Generative Models IJCAI 2021 Linear Semantics in Generative Adversarial Networks CVPR 2021 Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer CVPR 2021 Liquid Time-constant Networks AAAI 2021 LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks Interspeech 2021 LocalGAN: Modeling Local Distributions for Adversarial Response Generation JMLR 2021 Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models NeurIPS 2021