14 citations · 22 across the 7 of their papers we have counts for
7 papers
SPNeRF: Open Vocabulary 3D Neural Scene Segmentation with Superpoints
Weiwen Hu, Niccolò Parodi, Marcus Zepp +3
Open-vocabulary segmentation, powered by large visual-language models like CLIP, has expanded 2D segmentation capabilities beyond fixed classes predefined by the dataset, enabling…
Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic Reconstruction
Decai Chen, Brianne Oberson, Ingo Feldmann +3
3D Gaussian Splatting has recently achieved notable success in novel view synthesis for dynamic scenes and geometry reconstruction in static scenes. Building on these advancements,…
Dynamic Multi-View Scene Reconstruction Using Neural Implicit Surface
Decai Chen, Haofei Lu, Ingo Feldmann +2
Reconstructing general dynamic scenes is important for many computer vision and graphics applications. Recent works represent the dynamic scene with neural radiance fields for phot…
Multi-View Mesh Reconstruction with Neural Deferred Shading
Markus Worchel, Rodrigo Diaz, Weiwen Hu +3
We propose an analysis-by-synthesis method for fast multi-view 3D reconstruction of opaque objects with arbitrary materials and illumination. State-of-the-art methods use both neur…
Recovering Fine Details for Neural Implicit Surface Reconstruction
Decai Chen, Peng Zhang, Ingo Feldmann +2
Recent works on implicit neural representations have made significant strides. Learning implicit neural surfaces using volume rendering has gained popularity in multi-view reconstr…
Accurate Human Body Reconstruction for Volumetric Video
Decai Chen, Markus Worchel, Ingo Feldmann +2
In this work, we enhance a professional end-to-end volumetric video production pipeline to achieve high-fidelity human body reconstruction using only passive cameras. While current…