Generative Models

Diffusion Models Beat GANs on Topology Optimization AAAI 2023 Diffusion Models for Black-Box Optimization ICML 2023 Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem ICLR 2023 DiffusionRet: Diffusion-Enhanced Generative Retriever using Constrained Decoding EMNLP 2023 Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions ICCV 2023 DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction CVPR 2023 D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field ICCV 2023 Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones NeurIPS 2023 DiGress: Discrete Denoising diffusion for graph generation ICLR 2023 Dimensionality-Varying Diffusion Process CVPR 2023 DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships ACL 2023 DINER: Depth-Aware Image-Based NEural Radiance Fields CVPR 2023 DINER: Disorder-Invariant Implicit Neural Representation CVPR 2023 DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video AAAI 2023 Directed Chain Generative Adversarial Networks ICML 2023 Dirichlet Diffusion Score Model for Biological Sequence Generation ICML 2023 disco: a toolkit for Distributional Control of Generative Models ACL 2023 DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis CVPR 2023 Discrete Diffusion Probabilistic Models for Symbolic Music Generation IJCAI 2023 Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023 Disentangled Generative Models for Robust Prediction of System Dynamics ICML 2023 Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023 Distortion and Uncertainty Aware Loss for Panoramic Depth Completion ICML 2023 Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning ICCV 2023 Diverse Inpainting and Editing with GAN Inversion ICCV 2023