1 citations · 1 across the 6 of their papers we have counts for
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Enhancing Novel View Synthesis via Geometry Grounded Set Diffusion
Farhad G. Zanjani, Hong Cai, Amirhossein Habibian
We present SetDiff, a geometry-grounded multi-view diffusion framework that enhances novel-view renderings produced by 3D Gaussian Splatting. Our method integrates explicit 3D prio…
LidarPainter: One-Step Away From Any Lidar View To Novel Guidance
Yuzhou Ji, Ke Ma, Hong Cai +3
Dynamic driving scene reconstruction is of great importance in fields like digital twin system and autonomous driving simulation. However, unacceptable degradation occurs when the…
Gaussian Splatting is an Effective Data Generator for 3D Object Detection
Farhad G. Zanjani, Davide Abati, Auke Wiggers +4
We investigate data augmentation for 3D object detection in autonomous driving. We utilize recent advancements in 3D reconstruction based on Gaussian Splatting for 3D object placem…
Planar Gaussian Splatting
Farhad G. Zanjani, Hong Cai, Hanno Ackermann +2
This paper presents Planar Gaussian Splatting (PGS), a novel neural rendering approach to learn the 3D geometry and parse the 3D planes of a scene, directly from multiple RGB image…
Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
Farhad G. Zanjani, Hong Cai, Yinhao Zhu +2
This paper presents Neural Mesh Fusion (NMF), an efficient approach for joint optimization of polygon mesh from multi-view image observations and unsupervised 3D planar-surface par…
HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation
Antoine Mercier, Ramin Nakhli, Mahesh Reddy +4
Despite the latest remarkable advances in generative modeling, efficient generation of high-quality 3D assets from textual prompts remains a difficult task. A key challenge lies in…