From the 1 of 5 linked papers with an AI index.
5 papers
Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation
NVIDIA, :, Jiahui Huang +14
The paper introduces Instant NuRec, a feed‑forward neural model that converts a short multi‑camera driving log into a fully simulatable 3D Gaussian Splatting scene in about 1.5 sec…
SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms
Haithem Turki, Qi Wu, Xin Kang +5
Rigorous testing of autonomous robots, such as self-driving vehicles, is essential to ensure their safety in real-world deployments. This requires building high-fidelity simulators…
LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision
Yiming Huang, Xin Kang, Sipeng Zhang +3
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for real-time LiDAR and camera synthesis in autonomous driving simulation. However, simulating LiDAR with 3DGS rema…
ResGS: Residual Densification of 3D Gaussian for Efficient Detail Recovery
Yanzhe Lyu, Kai Cheng, Xin Kang +1
Recently, 3D Gaussian Splatting (3D-GS) has prevailed in novel view synthesis, achieving high fidelity and efficiency. However, it often struggles to capture rich details and compl…
LTM3D: Bridging Token Spaces for Conditional 3D Generation with Auto-Regressive Diffusion Framework
Xin Kang, Zihan Zheng, Lei Chu +5
We present LTM3D, a Latent Token space Modeling framework for conditional 3D shape generation that integrates the strengths of diffusion and auto-regressive (AR) models. While diff…