24 citations · 28 across the 4 of their papers we have counts for
4 papers · 1 filter
AdaptiveFusion: Adaptive Multi-Modal Multi-View Fusion for 3D Human Body Reconstruction
Anjun Chen, Xiangyu Wang, Zhi Xu +5
Recent advancements in sensor technology and deep learning have led to significant progress in 3D human body reconstruction. However, most existing approaches rely on data from a s…
Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields
Xiangyu Wang, Jingsen Zhu, Qi Ye +4
With the popularity of implicit neural representations, or neural radiance fields (NeRF), there is a pressing need for editing methods to interact with the implicit 3D models for t…
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions
Anjun Chen, Xiangyu Wang, Kun Shi +6
3D human reconstruction from RGB images achieves decent results in good weather conditions but degrades dramatically in rough weather. Complementary, mmWave radars have been employ…
mmBody Benchmark: 3D Body Reconstruction Dataset and Analysis for Millimeter Wave Radar
Anjun Chen, Xiangyu Wang, Shaohao Zhu +3
Millimeter Wave (mmWave) Radar is gaining popularity as it can work in adverse environments like smoke, rain, snow, poor lighting, etc. Prior work has explored the possibility of r…