Our work taps directly into the representation created by 3DGS and maps each Gaussian to either the foreground or background.

Training data attribution (TDA) techniques find influential training data for the model's prediction on the test data of interest.

The advent of large vision-language models (L VLMs) has spurred research into their applications in multi-modal contexts, particularly in video understanding.

This work explores the challenging problem of molecule design by framing it as a conditional generative modeling task, where target biological properties or desired chemical constraints serve as conditioning variables.