This paper introduces a new approach based on a coupled representation and a neural
volume optimization to implicitly perform 3D shape editing in latent space. This work has …

We present Surf-D, a novel method for generating high-quality 3D shapes as Surfaces with
arbitrary topologies using Diffusion models. Previous methods explored shape generation …

In this paper, we present Surf-D, a novel method for generating high-quality 3D shapes as
Surfaces with arbitrary topologies using Diffusion models. Specifically, we adopt Unsigned …

We are witnessing rapid progress in automatically generating and manipulating 3D assets
due to the availability of pretrained text-to-image diffusion models. However, time …

We introduce a dual contouring method that provides state-of-the-art performance for
occupancy functions while achieving computation times of a few seconds. Our method is …

Large-scale 3D generative models require substantial computational resources yet often fall
short in capturing fine details and complex geometries at high resolutions. We attribute this …