7 papers
Texture++: Elevating 3D Asset Texture Resolution with a Region-Aware Diffusion Model
Shuaiwei Wang, Shi Li, Jieting Xu +4
Numerous 3D assets are discarded due to low texture resolution, while current super-resolution models ignore texture maps and focus on natural images. An efficient and generalizabl…
HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation
Bin Zang, Wenting Zheng, Xiaoliang Luo +8
The paper presents HIVE-3D, a method that generates high-quality 3D scenes from a single image by building a hierarchical component tree and applying voxel super‑resolution to prog…
LiDAR-GS++:Improving LiDAR Gaussian Reconstruction via Diffusion Priors
Qifeng Chen, Jiarun Liu, Rengan Xie +5
Recent GS-based rendering has made significant progress for LiDAR, surpassing Neural Radiance Fields (NeRF) in both quality and speed. However, these methods exhibit artifacts in e…
LiDAR-GS:Real-time LiDAR Re-Simulation using Gaussian Splatting
Qifeng Chen, Sheng Yang, Sicong Du +4
We present LiDAR-GS, a Gaussian Splatting (GS) method for real-time, high-fidelity re-simulation of LiDAR scans in public urban road scenes. Recent GS methods proposed for cameras…
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly
Ruiyuan Zhang, Qi Wang, Jiaxiang Liu +3
3D part assembly aims to understand part relationships and predict their 6-DoF poses to construct realistic 3D shapes, addressing the growing demand for autonomous assembly, which…
AdaptiveFusion: Adaptive Multi-Modal Multi-View Fusion for 3D Human Body Reconstruction
Anjun Chen, Xiangyu Wang, Zhi Xu +5
Recent advancements in sensor technology and deep learning have led to significant progress in 3D human body reconstruction. However, most existing approaches rely on data from a s…