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2011.13456
Cited By
Score-Based Generative Modeling through Stochastic Differential Equations
26 November 2020
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
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Papers citing
"Score-Based Generative Modeling through Stochastic Differential Equations"
50 / 4,330 papers shown
Title
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
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Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
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The Role of Data Curation in Image Captioning
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Iterative
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Controllable Visual-Tactile Synthesis
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Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
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Yaxiong Lei
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Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
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Multimodal Data Augmentation for Image Captioning using Diffusion Models
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ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation
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52
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Geometric Latent Diffusion Models for 3D Molecule Generation
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Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem
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Diffusion Models for Time Series Applications: A Survey
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Junbin Gao
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Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression
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Yuling Jiao
Yuanyuan Lin
Jian Huang
58
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Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis
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Chih-Wei Chang
Junbo Peng
Jiahan Zhang
Richard L. J. Qiu
Tonghe Wang
J. Roper
Tian Liu
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Multisample Flow Matching: Straightening Flows with Minibatch Couplings
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Heli Ben-Hamu
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Learning a Diffusion Prior for NeRFs
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Abhijit Kundu
Leonidas J. Guibas
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Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation
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Sidhanth Holalkere
Ruyu Yan
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Abe Davis
24
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A mean-field games laboratory for generative modeling
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Markos A. Katsoulakis
35
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DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models
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Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation
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43
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28
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Latent Traversals in Generative Models as Potential Flows
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The Score-Difference Flow for Implicit Generative Modeling
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Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
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Huayu Chen
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Exploring Compositional Visual Generation with Latent Classifier Guidance
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Haomiao Ni
Kaican Li
Shaobo Han
Mingfu Liang
Martin Renqiang Min
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37
9
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Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang
Yi Ding
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Peihao Wang
Pengcheng He
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Weizhu Chen
Mingyuan Zhou
43
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GlyphDiffusion: Text Generation as Image Generation
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Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models
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Improving Synthetically Generated Image Detection in Cross-Concept Settings
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148
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Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy Feng
Jamie Smith
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DiffVoice: Text-to-Speech with Latent Diffusion
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40
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Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
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On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
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15
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Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
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Niwa Kenta
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19
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Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference
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32
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Improved Diffusion-based Image Colorization via Piggybacked Models
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19
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Balancing Simulation-based Inference for Conservative Posteriors
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Benjamin Kurt Miller
Patrick Forré
Christoph Weniger
Gilles Louppe
56
9
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Score-based Transport Modeling for Mean-Field Fokker-Planck Equations
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Yue Wu
Yang Xiang
OT
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Persistently Trained, Diffusion-assisted Energy-based Models
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Zhijian Ou
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Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models
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Marcus A. Brubaker
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42
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IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
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130
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Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
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Ruining Li
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Collaborative Diffusion for Multi-Modal Face Generation and Editing
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52
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Diffusion-based Generative AI for Exploring Transition States from 2D Molecular Graphs
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NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
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Generative modeling of time-dependent densities via optimal transport and projection pursuit
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To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
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