Score distillation sampling (SDS) has shown great promise in text-to-3D generation by
distilling pretrained large-scale text-to-image diffusion models, but suffers from over …

Text-guided image generation has progressed rapidly in recent years, inspiring major
breakthroughs in text-guided shape generation. Recently, it has been shown that using …

In this paper, we present TEXTure, a novel method for text-guided generation, editing, and
transfer of textures for 3D shapes. Leveraging a pretrained depth-to-image diffusion model …

We present a near real-time (10Hz) method for 6-DoF tracking of an unknown object from a
monocular RGBD video sequence, while simultaneously performing neural 3D …

Abstract Optimizing and rendering Neural Radiance Fields is computationally expensive
due to the vast number of samples required by volume rendering. Recent works have …

Recently, 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis
results, while allowing the rendering of high-resolution images in real-time. However …

Reconstructing 3D clothed human avatars from single images is a challenging task,
especially when encountering complex poses and loose clothing. Current methods exhibit …

This paper presents Paint3D a novel coarse-to-fine generative framework that is capable of
producing high-resolution lighting-less and diverse 2K UV texture maps for untextured 3D …

In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …

We explore the task of zero-shot semantic segmentation of 3D shapes by using large-scale
off-the-shelf 2D im-age recognition models. Surprisingly, we find that modern zero-shot 2D …