10 citations · 11 across the 17 of their papers we have counts for
11 papers · 1 filter
Geometry-to-Image Synthesis-Driven Generative Point Cloud Registration
Haobo Jiang, Jin Xie, Jian Yang +2
In this paper, we propose a novel 3D registration paradigm, Generative Point Cloud Registration, which bridges advanced 2D generative models with 3D matching tasks to enhance regis…
FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3) Diffusion Refinement
Haobo Jiang, Jin Xie, Jian Yang +2
Registration of multiview point clouds conventionally relies on extensive pairwise matching to build a pose graph for global synchronization, which is computationally expensive and…
AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving
Jiawei Xu, Kai Deng, Zexin Fan +3
Modeling and rendering dynamic urban driving scenes is crucial for self-driving simulation. Current high-quality methods typically rely on costly manual object tracklet annotations…
MaskHOI: Robust 3D Hand-Object Interaction Estimation via Masked Pre-training
Yuechen Xie, Haobo Jiang, Jian Yang +2
In 3D hand-object interaction (HOI) tasks, estimating precise joint poses of hands and objects from monocular RGB input remains highly challenging due to the inherent geometric amb…
VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences
Kai Deng, Zexin Ti, Jiawei Xu +2
Foundation models for 3D vision have recently demonstrated remarkable capabilities in 3D perception. However, extending these models to large-scale RGB stream 3D reconstruction rem…
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction
Ziyue Zhu, Shenlong Wang, Jin Xie +3
Recent advancements in camera-based occupancy prediction have focused on the simultaneous prediction of 3D semantics and scene flow, a task that presents significant challenges due…
Sketchy Bounding-box Supervision for 3D Instance Segmentation
Qian Deng, Le Hui, Jin Xie +1
Bounding box supervision has gained considerable attention in weakly supervised 3D instance segmentation. While this approach alleviates the need for extensive point-level annotati…
WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion
Yang Wu, Yun Zhu, Kaihua Zhang +3
3D scene perception demands a large amount of adverse-weather LiDAR data, yet the cost of LiDAR data collection presents a significant scaling-up challenge. To this end, a series o…
SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
Hanxiao Sun, YuPeng Gao, Jin Xie +2
Reconstructing 3D assets from images, known as inverse rendering (IR), remains a challenging task due to its ill-posed nature. 3D Gaussian Splatting (3DGS) has demonstrated impress…
Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection
Yun Zhu, Le Hui, Hang Yang +3
Both indoor and outdoor scene perceptions are essential for embodied intelligence. However, current sparse supervised 3D object detection methods focus solely on outdoor scenes wit…
GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats
Kai Deng, Yigong Zhang, Jian Yang +1
Tracking and mapping in large-scale, unbounded outdoor environments using only monocular RGB input presents substantial challenges for existing SLAM systems. Traditional Neural Rad…