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THuman 3.0
The dataset used in the paper for training and testing the Joint2Human model. -
THuman 2.0
The dataset used in the paper for training and testing the Joint2Human model. -
S6-L, S6-SM1, S6-SM2, S6-SM3, S7-L, S7-SM4
A dataset of live and spoof fingerprint images for training and testing generative models. -
S1-L, S2-L, S2-L-1, S2-L-2, S2-L-2-1, S2-L-2-2, S3-L, S4-L, S5-L
A dataset of live and spoof fingerprint images for training and testing generative models. -
Synthetic Data from Diffusion Models Improves ImageNet Classification
Large-scale text-to-image diffusion models can be fine-tuned to produce class-conditional models with SOTA FID and Inception Score on ImageNet. -
Open X-Embodiment Collaboration
The Open X-Embodiment Collaboration dataset is a collection of robotic learning datasets and RT-X models. -
Fleet-Tools Benchmark
The Fleet-Tools benchmark is a dataset for robotic tool-use tasks. -
PoCo: Policy Composition from and for Heterogeneous Robot Learning
Training general robotic policies from heterogeneous data for different tasks is a significant challenge. Existing robotic datasets vary in different modalities such as color,... -
Custom Diffusion
The dataset used in this paper is a large-scale text-to-image diffusion model, which consists of 35 subjects with unique pets and objects. -
Conditional DDPM Model
The dataset used in the paper is a set of images of microstructures, used for training and testing the Conditional DDPM model. -
Motion Planning Diffusion Model
The dataset used in the paper is a set of images and videos of objects moving in different environments, used for training and testing the Motion Planning Diffusion model. -
DiffusionForensics
The dataset used in the paper for testing the proposed Data-Independent Operator (DIO) framework for generalizable forgery image detection. -
Diffusion Models for Audio Restoration
Diffusion models for audio restoration -
Diffusion Random Feature Model
Diffusion probabilistic models have been successfully used to generate data from noise. However, most diffusion models are computationally expensive and difficult to interpret... -
Generative Model Evaluation
The dataset used in this paper for generative model evaluation, consisting of 4.1M images from 41 state-of-the-art generative models spanning diffusion models, GANs, variational... -
eDiff-I: Text-to-image diffusion models with an ensemble of expert denoisers
Text-to-image diffusion models with an ensemble of expert denoisers. -
TADA: Text-to-Animatable Digital Avatars
TADA generates high-fidelity 3D avatars with lifelike texture and detailed geometry, including high-resolution faces. Accurate alignment of texture and geometry, together with... -
LAION2B: An open large-scale dataset for training next generation image-text ...
The LAION2B dataset is a massive 'in the wild' dataset used for training foundation diffusion models. -
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task R...
Diffusion models have demonstrated highly-expressive generative capabilities in vision and NLP. Recent studies in reinforcement learning (RL) have shown that diffusion models...
