Diffusion Models

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models ICML 2023 Reflected Diffusion Models ICML 2023 Re-Imagen: Retrieval-Augmented Text-to-Image Generator ICLR 2023 Relightify: Relightable 3D Faces from a Single Image via Diffusion Models ICCV 2023 ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model ICCV 2023 Removing Anomalies as Noises for Industrial Defect Localization ICCV 2023 RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation CVPR 2023 RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models IJCAI 2023 Restart Sampling for Improving Generative Processes NeurIPS 2023 Restoration based Generative Models ICML 2023 Rethinking Conditional Diffusion Sampling with Progressive Guidance NeurIPS 2023 Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View ACL 2023 Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement AAAI 2023 RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models CVPR 2023 RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation ICML 2023 RMSSinger: Realistic-Music-Score based Singing Voice Synthesis ACL 2023 Robust Evaluation of Diffusion-Based Adversarial Purification ICCV 2023 RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion CVPR 2023 Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models CVPR 2023 Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions ICLR 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NeurIPS 2023 Scalable Adaptive Computation for Iterative Generation ICML 2023 Scalable Diffusion Models with Transformers ICCV 2023 ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection NeurIPS 2023 Scaling Riemannian Diffusion Models NeurIPS 2023