Abstract 3D content creation has achieved significant progress in terms of both quality and
speed. Although current feed-forward models can produce 3D objects in seconds, their …

Abstract Recently, the Segment Anything Model (SAM) emerged as a powerful vision
foundation model which is capable to segment anything in 2D images. This paper aims to …

The ability to generate highly realistic 2D images from mere text prompts has recently made
huge progress in terms of speed and quality, thanks to the advent of image diffusion models …

Existing NeRF-based methods for large scene reconstruction often have limitations in visual
quality and rendering speed. While the recent 3D Gaussian Splatting works well on small …

In this paper, we present an implicit surface reconstruction method with 3D Gaussian
Splatting (3DGS), namely 3DGSR, that allows for accurate 3D reconstruction with intricate …

While image diffusion models have made significant progress in text-driven 3D content
creation they often fail to accurately capture the intended meaning of text prompts especially …

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

While surface-based view synthesis algorithms are appealing due to their low computational
requirements, they often struggle to reproduce thin structures. In contrast, more expensive …

3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to
become a mainstream method for 3D representations. It can effectively transform multi-view …

We present ZeroRF a novel per-scene optimization method addressing the challenge of
sparse view 360deg reconstruction in neural field representations. Current breakthroughs …