6 papers
ES3D: Embedding Semantics into 3D Space for Component-Aware Editing
Xuancheng Jin, Rengan Xie, Jiayuan Lu +5
Existing 3D editing methods have made notable progress in controllability, yet they remain limited in several important ways. Most approaches rely on text-driven editing, which str…
HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation
Bin Zang, Wenting Zheng, Xiaoliang Luo +8
Recently, a line of works can generate impressive 3D objects from a single image, but they are limited by restricted representation resolution, making them unsuitable for 3D scene…
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…
Fuse3D: Generating 3D Assets Controlled by Multi-Image Fusion
Xuancheng Jin, Rengan Xie, Wenting Zheng +3
Recently, generating 3D assets with the control of condition images has achieved impressive quality. However, existing 3D generation methods are limited to handling a single contro…
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…