← Models
Deep Learning › Models ›

Diffusion Models

4342 directly classified papers

Papers per year

Papers

One-Step Diffusion Distillation via Deep Equilibrium Models NIPS 2023
Improving Diffusion-Based Image Synthesis with Context Prediction NIPS 2023
Continuous-Time Functional Diffusion Processes NIPS 2023
PHOTOSWAP: Personalized Subject Swapping in Images NIPS 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models NIPS 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations NIPS 2023
Directional diffusion models for graph representation learning NIPS 2023
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance NIPS 2023
Real-World Image Variation by Aligning Diffusion Inversion Chain NIPS 2023
Beta Diffusion NIPS 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling NIPS 2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring NIPS 2023
A Unified Framework for U-Net Design and Analysis NIPS 2023
Towards Test-Time Refusals via Concept Negation NIPS 2023
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing NIPS 2023
Gaussian Mixture Solvers for Diffusion Models NIPS 2023
SEGA: Instructing Text-to-Image Models using Semantic Guidance NIPS 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors NIPS 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry NIPS 2023
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization NIPS 2023
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation NIPS 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model NIPS 2023
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion NIPS 2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds NIPS 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models NIPS 2023