Generative Models

IBRNet: Learning Multi-View Image-Based Rendering CVPR 2021 Identifiable Generative models for Missing Not at Random Data Imputation NeurIPS 2021 IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression ICLR 2021 iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder NeurIPS 2021 Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network AAAI 2021 Im2Vec: Synthesizing Vector Graphics Without Vector Supervision CVPR 2021 Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis ICCV 2021 Image Generation using Continuous Filter Atoms NeurIPS 2021 Image Generators With Conditionally-Independent Pixel Synthesis CVPR 2021 Image Shape Manipulation From a Single Augmented Training Sample ICCV 2021 Image Synthesis via Semantic Composition ICCV 2021 IMAGINE: Image Synthesis by Image-Guided Model Inversion CVPR 2021 imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose ICCV 2021 Implicit Generative Copulas NeurIPS 2021 Implicit Normalizing Flows ICLR 2021 Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold ICML 2021 Improved Autoregressive Modeling with Distribution Smoothing ICLR 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 Improved Denoising Diffusion Probabilistic Models ICML 2021 Improved Speech Enhancement Using a Complex-Domain GAN with Fused Time-Domain and Time-Frequency Domain Constraints Interspeech 2021 Improved Techniques for Training Single-Image GANs WACV 2021 Improved Training of Generative Adversarial Networks Using Decision Forests WACV 2021 Improved Transformer for High-Resolution GANs NeurIPS 2021 Improving black-box optimization in VAE latent space using decoder uncertainty NeurIPS 2021 Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021