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 …

Novel view synthesis from unconstrained in-the-wild images remains a meaningful but
challenging task. The photometric variation and transient occluders in those unconstrained …

Existing handwritten text generation methods often require more than ten handwriting
samples as style references. However, in practical applications, users tend to prefer a …

Implicit neural representation methods have shown impressive advancements in learning
3D scenes from unstructured in-the-wild photo collections but are still limited by the large …

While the field of 3D scene reconstruction is dominated by NeRFs due to their photorealistic
quality, 3D Gaussian Splatting (3DGS) has recently emerged, offering similar quality with …

3D Gaussian Splatting (3DGS) is a promising technique for 3D reconstruction, offering
efficient training and rendering speeds, making it suitable for real-time applications …

Reconstructing 3D clothed human involves creating a detailed geometry of individuals in
clothing with applications ranging from virtual try-on movies to games. To enable practical …

Novel view synthesis aims to generate new view images of a given view image collection.
Recent attempts address this problem relying on 3D geometry priors (eg shapes sizes and …

We introduce camera ray matching (CRAYM) into the joint optimization of camera poses and
neural fields from multi-view images. The optimized field, referred to as a feature volume …

Humans naturally retain memories of permanent elements, while ephemeral moments often
slip through the cracks of memory. This selective retention is crucial for robotic perception …