Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using
supervision from pre-trained text-to-video models. However, existing representations, such …

Abstract We present Meta 3D AssetGen (AssetGen), a significant advancement in text-to-3D
generation which produces faithful, high-quality meshes with texture and material control …

Modern text-to-video synthesis models demonstrate coherent, photorealistic generation of
complex videos from a text description. However, most existing models lack fine-grained …

By leveraging the text-to-image diffusion prior, score distillation can synthesize 3D contents
without paired text-3D training data. Instead of spending hours of online optimization per text …

We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset
generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3D …

Text-to-3D synthesis has recently seen intriguing advances by combining the text-to-image
priors with 3D representation methods, eg, 3D Gaussian Splatting (3D GS), via Score …

This work explores expanding the capabilities of large language models (LLMs) pretrained
on text to generate 3D meshes within a unified model. This offers key advantages of (1) …

When training deep learning models, the performance depends largely on the selected
hyperparameters. However, hyperparameter optimization (HPO) is often one of the most …

Autoregressive models have demonstrated remarkable success across various fields, from
large language models (LLMs) to large multimodal models (LMMs) and 2D content …

Recent advances in text-to-image diffusion models have significantly enhanced image
generation quality, when trained on internet-scale data. However, existing methods are …