3 citations · 6 across the 9 of their papers we have counts for
11 papers
SpatialSkill: Self-Evolving Skills for Cross-View Spatial Reasoning
Ruifan Zuo, Guocheng Hu, Wanshui Gan +3
Cross-view spatial reasoning requires a model to align different viewpoints into a coherent spatial representation, yet this ability remains challenging for vision-language models…
OccAnyScene: Towards Unified Indoor-Outdoor 3D Occupancy Prediction
Junjie Liu, Wanshui Gan, Zitong Dai +6
3D occupancy prediction is fundamental to scene understanding, yet existing 3D semantic occupancy methods are typically specialized to fixed scene types and occupancy protocols. We…
MegaParts: Scaling Part-Aware 3D Object Generation to 300 Parts via Token-Efficient Autoregressive Modeling
Manwen Liao, Xinyu Lian, Jian Mao +11
Part-aware 3D object generation is essential for graphics applications such as controllable modeling, editing, and articulation, where objects are represented as coherent assemblie…
Code-as-Room: Generating 3D Rooms from Top-Down View Images via Agentic Code Synthesis
Yixuan Yang, Zhen Luo, Wanshui Gan +5
Designing realistic and functional 3D indoor rooms is essential for a wide range of applications, including interior design, virtual reality, gaming, and embodied AI. While recent…
Enhancing 3D LiDAR Segmentation by Shaping Dense and Accurate 2D Semantic Predictions
Xiaoyu Dong, Tiankui Xian, Wanshui Gan +1
Semantic segmentation of 3D LiDAR point clouds is important in urban remote sensing for understanding real-world street environments. This task, by projecting LiDAR point clouds an…
Is Pre-training Applicable to the Decoder for Dense Prediction?
Chao Ning, Wanshui Gan, Weihao Xuan +1
Pre-trained encoders are widely employed in dense prediction tasks for their capability to effectively extract visual features from images. The decoder subsequently processes these…
GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting
Wanshui Gan, Fang Liu, Hongbin Xu +2
We introduce GaussianOcc, a systematic method that investigates the two usages of Gaussian splatting for fully self-supervised and efficient 3D occupancy estimation in surround vie…
Enhancing Monocular Height Estimation from Aerial Images with Street-view Images
Xiaomou Hou, Wanshui Gan, Naoto Yokoya
Accurate height estimation from monocular aerial imagery presents a significant challenge due to its inherently ill-posed nature. This limitation is rooted in the absence of adequa…
A Simple Framework for 3D Occupancy Estimation in Autonomous Driving
Wanshui Gan, Ningkai Mo, Hongbin Xu +1
The task of estimating 3D occupancy from surrounding-view images is an exciting development in the field of autonomous driving, following the success of Bird's Eye View (BEV) perce…
V4d: voxel for 4d novel view synthesis
Wanshui Gan, Hongbin Xu, Yi Huang +2
Neural radiance fields have made a remarkable breakthrough in the novel view synthesis task at the 3D static scene. However, for the 4D circumstance (e.g., dynamic scene), the perf…
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
Ningkai Mo, Wanshui Gan, Naoto Yokoya +1
In this paper, a computation efficient regression framework is presented for estimating the 6D pose of rigid objects from a single RGB-D image, which is applicable to handling symm…