4 papers
ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectories
Yaokun Li, Shuaixian Wang, Mantang Guo +6
Synthesizing multi-pass videos is important for autonomous driving. While current repair-based methods often struggle with out-of-distribution artifacts, camera-controlled methods…
Q-RUN: Quantum-Inspired Data Re-uploading Networks
Wenbo Qiao, Shuaixian Wang, Peng Zhang +2
Data re-uploading quantum circuits (DRQC) are a key approach to implementing quantum neural networks and have been shown to outperform classical neural networks in fitting high-fre…
IE-NeRF: Inpainting Enhanced Neural Radiance Fields in the Wild
Shuaixian Wang, Haoran Xu, Yaokun Li +2
We present a novel approach for synthesizing realistic novel views using Neural Radiance Fields (NeRF) with uncontrolled photos in the wild. While NeRF has shown impressive results…
ID-NeRF: Indirect Diffusion-guided Neural Radiance Fields for Generalizable View Synthesis
Yaokun Li, Chao Gou, Guang Tan
Implicit neural representations, represented by Neural Radiance Fields (NeRF), have dominated research in 3D computer vision by virtue of high-quality visual results and data-drive…