E-NeRF: Neural Radiance Fields from a Moving Event Camera
DS-NeRF Project Page
AK on X: "Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields abs: https://t.co/Vjf7oQF1Fo reduces mean-squared error by 54% compared to mip- NeRF, and is able to produce realistic synthesized views and detailed depth maps
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
UC San Diego and Meta AI Researchers Introduce MonoNeRF: An Autoencoder Architecture that Disentangles Video into Camera Motion and Depth Map via the Camera Encoder and the Depth Encoder - MarkTechPost
2109.01129] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
3D volumetric rendering with NeRF
LIDAR Constrained NeRF on Outdoor Scenes | Portfolio
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
PDF] Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects | Semantic Scholar
RDNeRF: relative depth guided NeRF for dense free view synthesis | The Visual Computer
Bilawal Sidhu on X: "For the input, I wanted to see if I can exploit the crispy depth maps you can get out of a Neural Radiance Field (NeRF) 3D scan. -
Example depth estimation output of DS-NeRF for the "procedure" phase... | Download Scientific Diagram
2109.01129] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
PDF] MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis | Semantic Scholar