Neural Radiance Fields

Also known as NeRF

Overview

Neural radiance fields (NeRFs) learn a continuous 3D scene from posed images and use differentiable volume rendering to synthesize unseen views. Methods range from per-scene multilayer perceptrons to faster hash-grid, tensor-factorized, and plane-based encodings, often adding depth or geometry priors for sparse or noisy inputs. Evaluation spans synthetic scenes and real-world benchmarks such as LLFF and Mip-NeRF 360, while extensions address dynamic scenes, robotics, medical imaging, LiDAR, and other sensing modalities. The central challenge is balancing visual quality and geometric accuracy against training, memory, and rendering costs; robustness to uncertain poses and sparse views, and generalization to camera paths unlike those in training, remain difficult.

Latest papers

CardsList

82 papers7 papers in the last four weeks, down 22% on the four weeks before. 0.0% of all new papers.

  1. Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields

    Mar 26, 2026Thanh-Hai Le, Hoang-Hau Tran, Trong-Nghia VuNeural Radiance FieldsSparse-View 3D Reconstruction

  2. SatGeo-NeRF: Geometrically Regularized NeRF for Satellite Imagery

    Mar 23, 2026Valentin Wagner, Sebastian Bullinger, Michael Arens +13D ReconstructionNeural Radiance Fields

  3. Generalizable NGP-SR: Generalizable Neural Radiance Fields Super-Resolution via Neural Graph Primitives

    Mar 20, 2026Wanqi Yuan, Omkar Sharad Mayekar, Connor Pennington +1Neural Radiance Fields

  4. Fourier Splatting: Generalized Fourier encoded primitives for scalable radiance fields

    Mar 20, 2026Mihnea-Bogdan Jurca, Bert Van hauwermeiren, Adrian MunteanuDifferentiable RenderingNeural Rendering

  5. Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction

    Mar 18, 2026Devjyoti Chakraborty, Zaki Sukma, Rakandhiya D. Rachmanto +6Neural Architecture Performance PredictionNeural Radiance Fields

  6. IRIS: Intersection-aware Ray-based Implicit Editable Scenes

    Mar 16, 2026Grzegorz Wilczyński, Mikołaj Zieliński, Krzysztof Byrski +3Neural Rendering3D Scene Editing

  7. Spectral-Geometric Neural Fields for Pose-Free LiDAR View Synthesis

    Mar 13, 2026Yinuo Jiang, Jun Cheng, Yiran Wang +1Neural Radiance Fields3D Reconstruction

  8. Node-RF: Learning Generalized Continuous Space-Time Scene Dynamics with Neural ODE-based NeRFs

    Mar 12, 2026Hiran Sarkar, Liming Kuang, Yordanka Velikova +14D Scene UnderstandingNeural Radiance Fields

  9. HDR-NSFF: High Dynamic Range Neural Scene Flow Fields

    Mar 9, 2026Shin Dong-Yeon, Kim Jun-Seong, Kwon Byung-Ki +1HDR Video ReconstructionHDR Imaging

  10. Towards 3D Scene Understanding of Gas Plumes in LWIR Hyperspectral Images Using Neural Radiance Fields

    Mar 5, 2026Scout Jarman, Zigfried Hampel-Arias, Adra Carr +13D Scene Understanding3D Reconstruction

  11. Tiny-DroNeRF: Tiny Neural Radiance Fields aboard Federated Learning-enabled Nano-drones

    Mar 2, 2026Ilenia Carboni, Elia Cereda, Lorenzo Lamberti +3Neural Radiance Fields3D Reconstruction

  12. NERFIFY: A Multi-Agent Framework for Turning NeRF Papers into Code

    Feb 28, 2026Seemandhar Jain, Keshav Gupta, Kunal Gupta +1Agentic Code GenerationLLM-Based Program Synthesis

  13. Sapling-NeRF: Geo-Localised Sapling Reconstruction in Forests for Ecological Monitoring

    Feb 26, 2026Miguel Ángel Muñoz-Bañón, Nived Chebrolu, Sruthi M. Krishna Moorthy +43D ReconstructionNeural Radiance Fields

  14. Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones

    Feb 24, 2026Rong Zou, Marco Cannici, Davide ScaramuzzaNeural Radiance FieldsAerial Robotics

  15. PhysConvex: Physics-Informed 3D Dynamic Convex Radiance Fields for Reconstruction and Simulation

    Feb 21, 2026Dan Wang, Xinrui Cui, Serge Belongie +1Dynamic Scene ReconstructionNeural Radiance Fields

  16. HS-3D-NeRF: 3D Surface and Hyperspectral Reconstruction From Stationary Hyperspectral Images Using Multi-Channel NeRFs

    Feb 18, 2026Kibon Ku, Talukder Z. Jubery, Adarsh Krishnamurthy +13D ReconstructionNeural Radiance Fields

  17. NeRFscopy: Neural Radiance Fields for in-vivo Time-Varying Tissues from Endoscopy

    Feb 17, 2026Laura Salort-Benejam, Antonio AgudoEndoscopic 3D Reconstruction3D Reconstruction

  18. Quantum Implicit Neural Representations for Novel View Synthesis

    Jan 8, 2026Daniele Lizzio Bosco, Shuteng Wang, Giuseppe Serra +1Hybrid Quantum-Classical MLNovel View Synthesis

  19. Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields

    Jul 30, 2025Ranxi Lin, Canming Yao, Jiayi Li +3Efficient Neural Network InferenceNeural Rendering