12 citations · 24 across the 7 of their papers we have counts for
7 papers
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
Tianyuan Zhang, Zhengfei Kuang, Haian Jin +9
We propose RelitLRM, a Large Reconstruction Model (LRM) for generating high-quality Gaussian splatting representations of 3D objects under novel illuminations from sparse (4-8) pos…
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu +3
We introduce Stanford-ORB, a new real-world 3D Object inverse Rendering Benchmark. Recent advances in inverse rendering have enabled a wide range of real-world applications in 3D c…
PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields
Zhengfei Kuang, Fujun Luan, Sai Bi +3
Recent advances in neural radiance fields have enabled the high-fidelity 3D reconstruction of complex scenes for novel view synthesis. However, it remains underexplored how the app…
NeROIC: Neural Rendering of Objects from Online Image Collections
Zhengfei Kuang, Kyle Olszewski, Menglei Chai +3
We present a novel method to acquire object representations from online image collections, capturing high-quality geometry and material properties of arbitrary objects from photogr…
DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points
Zhengfei Kuang, Jiaman Li, Mingming He +2
Establishing dense correspondence between two images is a fundamental computer vision problem, which is typically tackled by matching local feature descriptors. However, without gl…
Task-Generic Hierarchical Human Motion Prior using VAEs
Jiaman Li, Ruben Villegas, Duygu Ceylan +4
A deep generative model that describes human motions can benefit a wide range of fundamental computer vision and graphics tasks, such as providing robustness to video-based human p…
Dynamic Facial Asset and Rig Generation from a Single Scan
Jiaman Li, Zhengfei Kuang, Yajie Zhao +3
The creation of high-fidelity computer-generated (CG) characters used in film and gaming requires intensive manual labor and a comprehensive set of facial assets to be captured wit…