321 citations · 555 across the 36 of their papers we have counts for
7 papers · 1 filter
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
Sicheng Li, Hao Li, Yue Wang +2
Neural Radiance Fields (NeRF) have demonstrated superior novel view synthesis performance but are slow at rendering. To speed up the volume rendering process, many acceleration met…
RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
Xuecheng Xu, Sha Lu, Jun Wu +5
Global localization plays a critical role in many robot applications. LiDAR-based global localization draws the community's focus with its robustness against illumination and seaso…
Deep Generative Models on 3D Representations: A Survey
Zifan Shi, Sida Peng, Yinghao Xu +3
Generative models aim to learn the distribution of observed data by generating new instances. With the advent of neural networks, deep generative models, including variational auto…
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration
Zexi Chen, Yiyi Liao, Haozhe Du +5
Pose registration is critical in vision and robotics. This paper focuses on the challenging task of initialization-free pose registration up to 7DoF for homogeneous and heterogeneo…
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
Katja Schwarz, Axel Sauer, Michael Niemeyer +2
State-of-the-art 3D-aware generative models rely on coordinate-based MLPs to parameterize 3D radiance fields. While demonstrating impressive results, querying an MLP for every samp…
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Xiao Fu, Shangzhan Zhang, Tianrun Chen +5
Large-scale training data with high-quality annotations is critical for training semantic and instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive…
A Visual Navigation Perspective for Category-Level Object Pose Estimation
Jiaxin Guo, Fangxun Zhong, Rong Xiong +3
This paper studies category-level object pose estimation based on a single monocular image. Recent advances in pose-aware generative models have paved the way for addressing this c…