FlameGS: Reconstruct flame light field via Gaussian Splatting
To address the time-consuming and computationally intensive issues of traditional ART algorithms for flame combustion diagnosis, inspired by flame simulation technology, we propose a novel representation method for flames. By modeling the luminous process of flames and utilizing 2D projection images for supervision, our experimental validation shows that this model achieves an average structural similarity index of 0.96 between actual images and predicted 2D projections, along with a Peak Signal-to-Noise Ratio of 39.05. Additionally, it saves approximately 34 times the computation time and about 10 times the memory compared to traditional algorithms.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Fire in SRRN: Next-Gen 3D Temperature Field Reconstruction Technology
In aerospace and energy engineering, accurate 3D combustion field temperature measurement is critical. The resolution of traditional methods based on algebraic iteration is limited by the initial voxel division. This stu…
MixedGaussianAvatar: Realistically and Geometrically Accurate Head Avatar via Mixed 2D-3D Gaussian Splatting
Reconstructing high-fidelity 3D head avatars is crucial in various applications such as virtual reality. The pioneering methods reconstruct realistic head avatars with Neural Radiance Fields (NeRF), which have been limit…
3DGSNeRFKaoLRM: Repurposing Pre-trained Large Reconstruction Models for Parametric 3D Face Reconstruction
We propose KaoLRM to re-target the learned prior of the Large Reconstruction Model (LRM) for parametric 3D face reconstruction from single-view images. Parametric 3D Morphable Models (3DMMs) have been widely used for fac…
3D Face ReconstructionFLAME-based Multi-View 3D Face Reconstruction
At present, face 3D reconstruction has broad application prospects in various fields, but the research on it is still in the development stage. In this paper, we hope to achieve better face 3D reconstruction quality by c…
3D Face Reconstruction3D ReconstructionFace ReconstructionOptical Flow EstimationS-Avatar: Diffusion-Guided Gaussian Head Avatars from a Single Image
We propose S-Avatar, a novel method for generating photorealistic 3D head avatars from a single image using a diffusion-guided 3D model generation module and strategies for animating 3D Gaussian Splatting (3DGS). While s…