This AI Paper Proposes MATLABER: A Novel Latent BRDF Auto-Encoder for Material-Aware Text-to-3D Generation

The development of 3D assets is essential for many commercial applications, including gaming, cinema, and AR/VR. Several labor-intensive and time-consuming steps are required in the traditional 3D asset development process, all of which depend on specialized knowledge and formal aesthetic training. Recent advances in generation quality and efficiency, as well as their potential to significantly […]

The post This AI Paper Proposes MATLABER: A Novel Latent BRDF Auto-Encoder for Material-Aware Text-to-3D Generation appeared first on MarkTechPost.

ai paper ai shorts applications artificial intelligence auto cinema commercial computer vision development editors pick encoder gaming knowledge labor machine learning material novel paper process quality staff tech news technology text training