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NeRF

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Showing 1176–1200 of 1713 papers

TitleStatusHype
Bilateral Guided Radiance Field Processing—0
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis—0
Binary Radiance Fields—0
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis—0
Biomass phenotyping of oilseed rape through UAV multi-view oblique imaging with 3DGS and SAM model—0
BirdNeRF: Fast Neural Reconstruction of Large-Scale Scenes From Aerial Imagery—0
Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields—0
BluNF: Blueprint Neural Field—0
BOGausS: Better Optimized Gaussian Splatting—0
Boosting3D: High-Fidelity Image-to-3D by Boosting 2D Diffusion Prior to 3D Prior with Progressive Learning—0
Boosting View Synthesis With Residual Transfer—0
BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synthesis in Large-scale Scenes—0
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering—0
Bright-NeRF:Brightening Neural Radiance Field with Color Restoration from Low-light Raw Images—0
Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder—0
Bringing Objects to Life: 4D generation from 3D objects—0
C3DAG: Controlled 3D Animal Generation using 3D pose guidance—0
Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives—0
CAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval—0
CaLDiff: Camera Localization in NeRF via Pose Diffusion—0
CamP: Camera Preconditioning for Neural Radiance Fields—0
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting—0
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components—0
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning—0
Casual Indoor HDR Radiance Capture from Omnidirectional Images—0
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