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Learning compact representations for LiDAR completion and generation
Learning compact representations for LiDAR completion and generation. -
LidarDM: Generative LiDAR Simulation in a Generated World
LidarDM: A novel layout-conditioned latent diffusion model for generating realistic LiDAR point clouds. -
Wasserstein Auto-Encoder (WAE)
Wasserstein Auto-Encoder (WAE) is a generative model that uses a combination of convolutional and fully connected layers to learn a probabilistic representation of images. -
Synthetic dataset for optimal geometry generation
A synthetic dataset created for the purpose of training a generative model for optimal geometry generation. -
DiFashion: Generative Outfit Recommendation
Generative Outfit Recommendation (GOR) task, DiFashion model for personalized outfit generation and recommendation -
My3DGen: A Scalable Personalized 3D Generative Model
The dataset used in the paper is a collection of 50 images of individuals, used for personalizing a 3D generative model.
