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diffusion process

68 papers

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Co-occurring keywords

diffusion model (3751) stochastic process (388) stochastic differential equation (181) markov chain monte carlo (725) graph neural network (3962) variational inference (2069) parameter inference (29) particle filter (86) graph diffusion (32) neural network (6616)

Papers

Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026
Towards 3D Object-Centric Feature Learning for Semantic Scene Completion AAAI 2026
T-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates AAAI 2026
Instructive3D: Editing Large Reconstruction Models with Text Instructions WACV 2025
Take the Bull by the Horns: Learning to Segment Hard Samples CVPR 2025
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing ICCV 2025
D-LUT: Photorealistic Style Transfer via Diffusion Process WACV 2025
MagicArticulate: Make Your 3D Models Articulation-Ready CVPR 2025
HouseTour: A Virtual Real Estate A(I)gent ICCV 2025
PolarFree: Polarization-based Reflection-Free Imaging CVPR 2025
PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning ICCV 2025
Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic Segmentation ICCV 2025
Few-shot Implicit Function Generation via Equivariance CVPR 2025
DeepSN: A Sheaf Neural Framework for Influence Maximization AAAI 2025
Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion IJCAI 2025
Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025
ARIG: Autoregressive Interactive Head Generation for Real-time Conversations ICCV 2025
Variational Gaussian Process Diffusion Processes AISTATS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
Predicting the Unpredictable: Uncertainty-Aware Reasoning over Temporal Knowledge Graphs via Diffusion Process ACL 2024
A Generalized Neural Diffusion Framework on Graphs AAAI 2024
Learning diffusion at lightspeed NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization NIPS 2024
Reparameterization invariance in approximate Bayesian inference NIPS 2024
Score-based generative models are provably robust: an uncertainty quantification perspective NIPS 2024