Nerf
PulseAugur coverage of Nerf — every cluster mentioning Nerf across labs, papers, and developer communities, ranked by signal.
2 天有情绪数据
-
NeRF methods boost spacecraft pose estimation and 3D reconstruction
Researchers have developed new methods using Neural Radiance Fields (NeRF) to improve spacecraft pose estimation and 3D reconstruction from imagery. One approach uses NeRF-based augmentations to train pose estimators wi…
-
扩散模型与 NeRF 结合实现概率性三维场景重建
研究人员开发了一种新颖的三维场景重建方法，将扩散模型与神经辐射场 (NeRF) 相结合。该方法将三维重建视为一个概率问题，使用随机潜在变量来表示场景。模型学习这些潜在变量的先验分布，并使用扩散模型结合从体积渲染派生的重建似然项来进行后验推理。该系统展示了从各种输入（包括单视图、多视图、噪声图像、稀疏像素和稀疏深度数据）进行准确三维结构预测的能力，有效地模拟了每种观测类型的不确定性。
-
PropSplat method reconstructs RF fields without 3D maps
Researchers have developed PropSplat, a novel method for reconstructing radio frequency (RF) fields without relying on detailed 3D maps or extensive measurement campaigns. This approach utilizes 3D anisotropic Gaussian …
-
MapRF uses NeRF-guided self-training for weakly supervised HD map construction
Researchers have developed MapRF, a novel framework for constructing high-definition (HD) maps for autonomous driving systems using only 2D image labels. This weakly supervised approach leverages Neural Radiance Fields …
-
Geometry-aware strategies improve novel view synthesis for indoor scenes
Researchers have developed new methods for efficiently allocating representation capacity in neural radiance fields (NeRFs) to generate immersive indoor environments. By leveraging geometric priors from estimated scene …
-
SaLF offers real-time multi-sensor simulation for autonomous driving
Researchers have developed SaLF, a novel volumetric representation for real-time multi-sensor simulation. This method uses a sparse set of 3D voxel primitives, each containing a local implicit field, to achieve faster t…
-
PanDORA system captures high dynamic range radiance for realistic image-based lighting
Researchers have developed PanDORA, a system for rapidly capturing high dynamic range (HDR) radiance maps essential for realistic image-based lighting. Unlike existing methods that rely on slow exposure bracketing or lo…
-
HumanSplatHMR refines 3D human pose and avatar generation via joint optimization
Researchers have introduced HumanSplatHMR, a novel framework that jointly optimizes 3D human pose estimation and avatar creation from video. This approach addresses limitations in existing methods by integrating pose re…
-
GOR-IS framework improves 3D object removal with intrinsic space inpainting
Researchers have developed GOR-IS, a new framework for removing objects from 3D scene reconstructions generated by methods like 3D Gaussian Splatting. This approach addresses limitations in existing techniques by explic…
-
New EAG-PT method reconstructs and edits indoor scenes with diffuse global illumination
Researchers have developed EAG-PT, a novel method for reconstructing and editing indoor scenes with diffuse global illumination. This approach utilizes 2D Gaussians as a geometric proxy, bypassing the need for explicit …
-
RayFormer AI model achieves SOTA in video snapshot compressive imaging
Researchers have introduced RayFormer, a novel approach for video snapshot compressive imaging (SCI) that improves reconstruction quality. This method utilizes a patch-level ray sampling strategy and an Inter- and Intra…
-
Researchers unify visual and wireless sensing for 3D radio map construction
Researchers have developed a novel framework called URF-GS that unifies visual and wireless sensing for constructing 3D radio maps. This approach leverages 3D Gaussian splatting and inverse rendering to integrate cross-…
-
Gaussian Splatting advances enable faster, more accurate wireless RF reconstruction
Two new research papers introduce Gaussian Splatting techniques adapted for wireless radiance field reconstruction. The first, BiSplat-WRF, proposes a planar Gaussian framework that incorporates electromagnetic coupling…
-
New SDDF representation offers faster, more accurate 3D scene reconstruction
Researchers have introduced a new 3D vision representation called the signed directional distance function (SDDF), designed to improve both reconstruction fidelity and rendering efficiency. Unlike existing methods like …
-
Ultra-Wide-NeRF uses Gaussian NeRF for improved ultrasound reconstruction
Researchers have developed Ultra-Wide-NeRF, a novel method for reconstructing wide field-of-view 3D ultrasound images. This approach utilizes Multivariate 3D Gaussians within a Neural Radiance Fields framework to accura…