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Fregs: 3d gaussian splatting with progressive frequency regularization
Abstract 3D Gaussian splatting has achieved very impressive performance in real-time novel
view synthesis. However it often suffers from over-reconstruction during Gaussian …
view synthesis. However it often suffers from over-reconstruction during Gaussian …
Neural radiance field-based visual rendering: a comprehensive review
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 …
of computer vision and graphics, providing strong technical support for solving key tasks …
Soac: Spatio-temporal overlap-aware multi-sensor calibration using neural radiance fields
In rapidly-evolving domains such as autonomous driving the use of multiple sensors with
different modalities is crucial to ensure high operational precision and stability. To correctly …
different modalities is crucial to ensure high operational precision and stability. To correctly …
CBARF: cascaded bundle-adjusting neural radiance fields from imperfect camera poses
Existing volumetric neural rendering techniques, such as Neural Radiance Fields (NeRF),
face limitations in synthesizing high-quality novel views when the camera poses of input …
face limitations in synthesizing high-quality novel views when the camera poses of input …
Frequency-based View Selection in Gaussian Splatting Reconstruction
Three-dimensional reconstruction is a fundamental problem in robotics perception. We
examine the problem of active view selection to perform 3D Gaussian Splatting …
examine the problem of active view selection to perform 3D Gaussian Splatting …
Learning Geometry Consistent Neural Radiance Fields from Sparse and Unposed Views
The latest progress in novel view synthesis can be attributed to the Neural Radiance Field
(NeRF), which requires densely sampled images with precise camera poses. However …
(NeRF), which requires densely sampled images with precise camera poses. However …
EMA-GS: Improving sparse point cloud rendering with EMA gradient and anchor upsampling
D Yuan, S Zhang, H Zhang, Y Deng, Y Yang - Image and Vision Computing, 2025 - Elsevier
Abstract The 3D Gaussian Splatting (3D-GS) technique combines 3D Gaussian primitives
with differentiable rasterization for real-time high-quality novel view synthesis. However, in …
with differentiable rasterization for real-time high-quality novel view synthesis. However, in …
Neural Active Structure-from-Motion in Dark and Textureless Environment
Active 3D measurement, especially structured light (SL) has been widely used in various
fields for its robustness against textureless or equivalent surfaces by low light illumination. In …
fields for its robustness against textureless or equivalent surfaces by low light illumination. In …
大规模场景运动恢复结构研究综述 chin.
高翔, **梦晗, 申抒含 - Journal of Computer-Aided Design & …, 2024 - search.ebscohost.com
运动恢复结构旨在基于图像间的局部特征匹配解算相机在全局统一坐标系下的绝对位姿,
是基于图像的三维重建中的关键问题. **年来, 随着采集设备, 计算资源以及理论方法的发展 …
是基于图像的三维重建中的关键问题. **年来, 随着采集设备, 计算资源以及理论方法的发展 …