← Models
Deep Learning › Models ›

Diffusion Models

4342 directly classified papers

Papers per year

Papers

Rethinking Conditional Diffusion Sampling with Progressive Guidance NIPS 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels NIPS 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation NIPS 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NIPS 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models NIPS 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models NIPS 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task NIPS 2023
Enhancing Adversarial Robustness via Score-Based Optimization NIPS 2023
Geometric Neural Diffusion Processes NIPS 2023
Add and Thin: Diffusion for Temporal Point Processes NIPS 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models NIPS 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models NIPS 2023
Equivariant flow matching NIPS 2023
Solving Inverse Physics Problems with Score Matching NIPS 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NIPS 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels NIPS 2023
Multi-scale Diffusion Denoised Smoothing NIPS 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models NIPS 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models NIPS 2023
Contrastive Sampling Chains in Diffusion Models NIPS 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification NIPS 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NIPS 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NIPS 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models NIPS 2023
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion NIPS 2023