Models

Diffusion Normalizing Flow NeurIPS 2021 Diffusion Probabilistic Models for 3D Point Cloud Generation CVPR 2021 Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NeurIPS 2021 DiffWave: A Versatile Diffusion Model for Audio Synthesis ICLR 2021 DINO: A Conditional Energy-Based GAN for Domain Translation ICLR 2021 DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer EMNLP 2021 Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes CVPR 2021 Discovering Non-monotonic Autoregressive Orderings with Variational Inference ICLR 2021 Discrete Cosine Transform as Universal Sentence Encoder ACL 2021 Discrete-Valued Neural Communication NeurIPS 2021 Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On CVPR 2021 Disentangled Face Attribute Editing via Instance-Aware Latent Space Search IJCAI 2021 Disentangled Lifespan Face Synthesis ICCV 2021 Disentangled Recurrent Wasserstein Autoencoder ICLR 2021 Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders EMNLP 2021 Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA NeurIPS 2021 Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect NeurIPS 2021 Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors NAACL 2021 Distillation-Guided Image Inpainting ICCV 2021 Distributional Sliced-Wasserstein and Applications to Generative Modeling ICLR 2021 DisUnknown: Distilling Unknown Factors for Disentanglement Learning ICCV 2021 DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network CVPR 2021 Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals NeurIPS 2021 Diverse Image Style Transfer via Invertible Cross-Space Mapping ICCV 2021 Diverse Semantic Image Synthesis via Probability Distribution Modeling CVPR 2021