5 citations · 7 across the 4 of their papers we have counts for
4 papers
SwiftNDC: Fast Neural Depth Correction for High-Fidelity 3D Reconstruction
Kang Han, Wei Xiang, Lu Yu +3
Depth-guided 3D reconstruction has gained popularity as a fast alternative to optimization-heavy approaches, yet existing methods still suffer from scale drift, multi-view inconsis…
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
Lu Yu, Wei Xiang, Kang Han
Recent research has demonstrated that the combination of pretrained diffusion models with neural radiance fields (NeRFs) has emerged as a promising approach for text-to-3D generati…
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
Kang Han, Wei Xiang, Lu Yu
Neural radiance fields (NeRFs) are able to synthesize realistic novel views from multi-view images captured from distinct positions and perspectives. In NeRF's rendering pipeline,…
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
Sicheng Li, Hao Li, Yue Wang +2
Neural Radiance Fields (NeRF) have demonstrated superior novel view synthesis performance but are slow at rendering. To speed up the volume rendering process, many acceleration met…