In this study, we explore the challenge of efficiently representing scenes with a constrained
number of Gaussians. Our analysis shifts from traditional graphics and 2D computer vision to …

We present GenesisTex a novel method for synthesizing textures for 3D geometries from text
descriptions. GenesisTex adapts the pretrained image diffusion model to texture space by …

Human avatar has become a novel type of 3D asset with various applications. Ideally a
human avatar should be fully customizable to accommodate different settings and …

Synthesizing realistic videos of talking faces under custom lighting conditions and viewing
angles benefits various downstream applications like video conferencing. However most …

Existing text-based 3D generation methods generate attractive results but lack detailed
geometry control. Sketches, known for their conciseness and expressiveness, have …

Diffusion models (DMs) have been significantly developed and widely used in various
applications due to their excellent generative qualities. However, the expensive computation …

Recent progress in the text-driven 3D stylization of a single object has been considerably
promoted by CLIP-based methods. However the stylization of multi-object 3D scenes is still …

3D object detection is a fundamental task in scene understanding. Numerous research
efforts have been dedicated to better incorporate Hough voting into the 3D object detection …

The 3D Gaussian Splatting method has recently shown significant advancements in
rendering speed and scene composition quality, enhancing its industrial applications and …

Abstract Neural Radiance Fields (NeRF) have achieved remarkable progress on dynamic
scenes with deformable objects. Nonetheless, most previous works required multi-view …