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PDF] Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects | Semantic Scholar
3D volumetric rendering with NeRF
Qualitative comparisons of novel view synthesis and depth estimation on... | Download Scientific Diagram
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
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
PERF: Revolutionizing 3D Scene Generation from Single Images | by Multiplatform.AI | Medium
Digging into Depth Priors for Outdoor Neural Radiance Fields
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
StructNeRF: Neural Radiance Fields for Indoor Scenes with Structural Hints: Paper and Code - CatalyzeX
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
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
2109.01129] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
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. -
NeRF: Neural Radiance Fields
E-NeRF: Neural Radiance Fields from a Moving Event Camera
NeRF Explained | Papers With Code
PDF] MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis | Semantic Scholar