Search Results for author:
Found 4 papers, 1 papers with code
Compositional Text-to-Image Generation with Dense Blob Representations
To leverage the compositionality of large language models (LLMs), we introduce a new in-context learning approach to generate blob representations from text prompts.
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
However, diffusion models require careful tuning of inference hyperparameters on a validation set and are still sensitive to distribution shifts during testing.
Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models
In this work, we introduce a general method for 3D self-supervised representation learning that 1) remains agnostic to the underlying neural network architecture, and 2) specifically leverages the geometric nature of 3D point cloud data.
Accelerated Generative Models for 3D Point Cloud Data
In this paper we introduce a method for constructing compact generative representations of PCD at multiple levels of detail.
