In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …

The advances in the Neural Radiance Fields (NeRF) research offer extensive applications in
diverse domains but protecting their copyrights has not yet been researched in depth …

Abstract Neural Radiance Fields (NeRFs) have become a key method for 3D scene
representation. With the rising prominence and influence of NeRF, safeguarding its …

Remarkable advancements in the recolorization of Neural Radiance Fields (NeRF) have
simplified the process of modifying NeRF's color attributes. Yet, with the potential of NeRF to …

Numerous studies have recently advanced the state-of-the art for representing videos
through an implicit neural network (INR). As these models become increasingly ubiquitous …

Abstract Electromagnetic Inverse Scattering Problems (EISP) have gained wide applications
in computational imaging. By solving EISP, the internal relative permittivity of the scatterer …

Single-view 3D reconstruction methods like Triplane Gaussian Splatting (TGS) have
enabled high-quality 3D model generation from just a single image input within seconds …

A watermarking algorithm is proposed in this paper to address the copyright protection issue
of implicit 3D models. The algorithm involves embedding watermarks into the images in the …

Deep steganography utilizes the powerful capabilities of deep neural networks to embed
and extract messages, but its reliance on an additional message extractor limits its practical …

3D Gaussian Splatting (3DGS) has already become the emerging research focus in the
fields of 3D scene reconstruction and novel view synthesis. Given that training a 3DGS …