Diffusion Models

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback NeurIPS 2023 Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding CVPR 2023 Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision NeurIPS 2023 DiffuSum: Generation Enhanced Extractive Summarization with Diffusion ACL 2023 DiffUTE: Universal Text Editing Diffusion Model NeurIPS 2023 DiffV2S: Diffusion-Based Video-to-Speech Synthesis with Vision-Guided Speaker Embedding ICCV 2023 DiGress: Discrete Denoising diffusion for graph generation ICLR 2023 Dimensionality-Varying Diffusion Process CVPR 2023 DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars ICCV 2023 Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation EMNLP 2023 Directional diffusion models for graph representation learning NeurIPS 2023 DIRE for Diffusion-Generated Image Detection ICCV 2023 Dirichlet Diffusion Score Model for Biological Sequence Generation ICML 2023 Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation ICLR 2023 Discrete Diffusion Probabilistic Models for Symbolic Music Generation IJCAI 2023 Discrete Predictor-Corrector Diffusion Models for Image Synthesis ICLR 2023 Discriminative Class Tokens for Text-to-Image Diffusion Models ICCV 2023 DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models NeurIPS 2023 Distilling Model Failures as Directions in Latent Space ICLR 2023 Distilling Neural Fields for Real-Time Articulated Shape Reconstruction CVPR 2023 Distribution-Aligned Diffusion for Human Mesh Recovery ICCV 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023 DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation NeurIPS 2023 Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning ICCV 2023