The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …

Modeling animatable human avatars from RGB videos is a long-standing and challenging
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …

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 resolution is …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

Text-driven 3D scene editing has gained significant attention owing to its convenience and
user-friendliness. However, existing methods still lack accurate control of the specified …

3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the
explicit radiance field and computer graphics landscape. This innovative approach …

As 3D content becomes increasingly prevalent, there'sa growing focus on the development
of engagements with 3D virtual content. Unfortunately, traditional techniques for creating …

In this paper we address the challenge of reconstructing general articulated 3D objects from
a single video. Existing works employing dynamic neural radiance fields have advanced the …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …