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Diffusion-based Causal Models
The dataset used in the paper is a synthetic dataset generated with various structural equation types for all three forms of causal queries. -
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction
Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving. One of the main challenges in... -
Robustness and Generalizability of Deepfake Detection: A Study with Diffusion...
A robustness and generalizability study of deepfake detection using diffusion models. -
Wavegrad: Estimating gradients for waveform generation
A method for estimating gradients for waveform generation using diffusion models. -
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
A music generation model that leverages free-form text as a conditioning factor, utilizing the diffusion model to generate waveform-based music. -
Diffusion Models for Minimally-Supervised Speech Synthesis
Minimally-supervised speech synthesis method based on diffusion models with minimal supervision. Introduces the CTAP method as an intermediate semantic representation and uses... -
25-Gaussian
The data distribution is taken to be a 25-dimensional Gaussian distribution, generated by mixture of gaussians. -
Simple SDE
The data distribution is taken to be a one-dimensional Gaussian distribution, P0(x0) = N (x0 | 0, v0). -
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained text-to-image diffusion model and a pre-trained 3D model. -
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforceme...
This paper presents advanced techniques of training diffusion policies for offline reinforcement learning (RL). -
Archive Distillation
The archive A contains policies parameterized by deep neural networks and trained via a state of the art QD-RL method PPGA. -
Generating Behaviorally Diverse Policies with Latent Diffusion Models
Quality Diversity (QD) is an emerging field in which collections of high performing, behaviorally diverse solutions are trained. The foundational method, Map Elites, maintains... -
RingID: Enhanced Multi-Key Identification
The dataset used in the paper is a diffusion model dataset, where the authors investigate the robustness of Tree-Ring Watermarking in the identification task. -
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Genera...
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule on the learned gradients, and back-propagate the score of a diffusion model... -
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating th...
Text-guided image editing using diffusion models -
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
Generating ligand molecules for specific protein targets, known as structure-based drug design, is a fundamental problem in therapeutics development and biological discovery. -
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
Large-scale graphs with node attributes are increasingly common in various real-world applications. Creating synthetic, attribute-rich graphs that mirror real-world examples is... -
Autoregressive Diffusion Model for Graph Generation
Diffusion-based graph generative models have recently obtained promising results for graph generation. However, existing diffusion-based graph generative models are mostly...
