5 papers
3DReflecNet: A Large-Scale Dataset for 3D Reconstruction of Reflective, Transparent, and Low-Texture Objects
Zhicheng Liang, Haoyi Yu, Boyan Li +6
Accurate 3D reconstruction of objects with reflective, transparent, or low-texture surfaces still remains notoriously challenging. Such materials often violate key assumptions in m…
PartNerFace: Part-based Neural Radiance Fields for Animatable Facial Avatar Reconstruction
Xianggang Yu, Lingteng Qiu, Xiaohang Ren +4
We present PartNerFace, a part-based neural radiance fields approach, for reconstructing animatable facial avatar from monocular RGB videos. Existing solutions either simply condit…
PIR: Photometric Inverse Rendering with Shading Cues Modeling and Surface Reflectance Regularization
Jingzhi Bao, Guanying Chen, Shuguang Cui
This paper addresses the problem of inverse rendering from photometric images. Existing approaches for this problem suffer from the effects of self-shadows, inter-reflections, and…
DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors
Zizheng Yan, Jiapeng Zhou, Fanpeng Meng +6
Text-to-3D generation has recently seen significant progress. To enhance its practicality in real-world applications, it is crucial to generate multiple independent objects with in…
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
Yuqi Zhang, Guanying Chen, Jiaxing Chen +1
We present a neural radiance field method for urban-scale semantic and building-level instance segmentation from aerial images by lifting noisy 2D labels to 3D. This is a challengi…