3D Gaussian as a New Era: A Survey
arXiv:2402.07181 · doi:10.1109/TVCG.2024.3397828
Abstract
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 the reliance on neural networks, such as Neural Radiance Fields (NeRF). This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented reality, just name a few. Given the growing popularity and expanding research in 3D Gaussian Splatting, this paper presents a comprehensive survey of relevant papers from the past year. We organize the survey into taxonomies based on characteristics and applications, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. Our goal through this survey is to acquaint new researchers with 3D Gaussian Splatting, serve as a valuable reference for seminal works in the field, and inspire future research directions, as discussed in our concluding section.
Accepted at IEEE TVCG 2024, Please refer to: https://ieeexplore.ieee.org/document/10521791
References in corpus (8)
- Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
- 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
- HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
- Real-time Neural Radiance Caching for Path Tracing
- Real-time Deep Dynamic Characters
- Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
- 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting
- Text-Guided Texturing by Synchronized Multi-View Diffusion
Cited by in corpus (9)
- 3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods
- GS^3: Efficient Relighting with Triple Gaussian Splatting
- Advances in Artificial Intelligence: A Review for the Creative Industries
- Image-GS: Content-Adaptive Image Representation via 2D Gaussians
- StructGS: Adaptive Spherical Harmonics and Rendering Enhancements for Superior 3D Gaussian Splatting
- Splat and Replace: 3D Reconstruction with Repetitive Elements
- Empowering Children to Create AI-Enabled Augmented Reality Experiences
- AURORA: Automated Unleash of 3D Room Outlines for VR Applications
- LoDAvatar: Hierarchical Embedding and Selective Detail Enhancement for Adaptive Levels of Detail Gaussian Avatars