Neural Rendering

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Overview

Neural rendering studies how to represent scenes and light so computers can synthesize images from new viewpoints, times, or lighting conditions. Neural Radiance Fields (NeRFs) use implicit networks and differentiable volume rendering, while 3D Gaussian Splatting and other explicit primitives use rasterization or ray tracing; feed-forward and generative models aim to make reconstruction and rendering faster. Applications include dynamic scenes, avatars, relighting, neural materials, and sensor simulation, with quality often tested on benchmarks such as Mip-NeRF 360, LLFF, and DTU. A central challenge is balancing visual fidelity and geometric accuracy with speed, memory use, and reliable control of appearance under unseen views or lighting.

Latest papers

CardsList

120 papers14 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. FixAnything: 3D-Consistent Rendering Refinement via Video Generative Priors

    Aug 24, 2026Khiem Vuong, Deva Ramanan, Srinivasa NarasimhanNeural RenderingMulti-View Consistency

    Carnegie Mellon University, USA

  2. Towards Alias-Free 4D Gaussian Representations with Motion-Aware Filtering

    Aug 22, 2026Ankit Dhiman, Kunal A Kathare, Pranav Vignesh +2Dynamic Novel View SynthesisNeural Rendering

    Indian Institute of Science, Bangalore · Samsung R&D Institute India - Bangalore

  3. Differentiable Voronoi Ray Tracing Beyond Rasterization Speeds

    Aug 18, 2026Bernardo Taveira, Carl Lindström, Joakim Johnander +1Differentiable Ray TracingNovel View Synthesis

    Chalmers University of Technology, Sweden · Zenseact, Sweden · Linköping University, Sweden

  4. 3D Gaussian Accelerated Ray Tracing: Fast training through particle-based backward propagation

    Aug 18, 2026Laurent Vit, Oliver Batchelor, Richard Green3D Gaussian Splatting3DGS Acceleration

    University of Canterbury, New Zealand

  5. Fast Implicit Neural Light Field Representation via Geometric Decomposition and Multi-Resolution Low-Rank Features

    Aug 14, 2026Yao Guo, Ligen Shi, Shuchen Sun +2Low-Rank Representation LearningNeural Rendering

    Institute of Computational Imaging, Beijing Information Science and Technology University, Beijing 102206, China · College of Computer Science (College of Software), Inner Mongolia University, Hohhot 010021, China

  6. RGBX-Next: Towards Realistic Generative Rendering from G-Buffers

    Aug 14, 2026Zheng Zeng, Marco Salvi, Lifan Wu +9Inverse RenderingNeural Rendering

    University of California, Santa Barbara, NVIDIA, USA · NVIDIA, USA · NVIDIA, Czech Republic +2

  7. A Hybrid Neural-Microfacet BRDF Model for Real-Time Rendering

    Aug 10, 2026Louis De Oliveira, Anastasia Karpova, Georges Nader +4Neural RenderingPhysically Based Rendering

    1Ubisoft La Forge · 2Inria

  8. View-Adaptive Renderer for View-Consistent 2D-to-3D Generation

    Aug 10, 2026U-Chae Jun, Jaeeun Ko, Jiwoo KangNeural RenderingMulti-View 3D Reconstruction

    Department of IT Engineering, Sookmyung Women’s University, Seoul, 04310, South Korea. · Division of Artificial Intelligence Engineering, Sookmyung Women’s University, Seoul, 04310, South Korea.

  9. Floating Radiance Networks

    Aug 6, 2026Krzysztof Byrski, Rafał Tobiasz, Grzegorz Wilczyński +5Neural RenderingNovel View Synthesis

    Jagiellonian University, Faculty of Mathematics and Computer Science · IDEAS Research Institute · Poznań University of Technology, Institute of Robotics and Machine Intelligence

  10. ACA-GS: Adaptive-Capacity Anchored Gaussian Splatting for Compact Dynamic Radiance Fields

    Aug 5, 2026Seunghyeon Song, Joo Chan Lee, Chanung Park +43D Gaussian SplattingNeural Rendering

    Sungkyunkwan University Suwon, Gyeonggi-do Republic of Korea · Electronics and Telecommunications Research Institute Daejeon, Republic of Korea · Yonsei University Seoul, Republic of Korea

  11. DeGS: A Scalable 3DGS Architecture via Decoupled Workload Parsing and Reorganization

    Aug 3, 2026Minnan Pei, Gang Li, Zeyu Zhu +73D Gaussian Splatting3DGS Acceleration

    Institute of Automation, Chinese Academy of Sciences, C2DL, Beijing, China · University of Chinese Academy of Sciences, Beijing, China · Shanghai Jiao Tong University, Shanghai, China

  12. Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated Mesh

    Jul 30, 2026Junhao Chen, Mingjin Chen, Henghaofan Zhang +9Camera-Conditioned Video GenerationVideo Diffusion Models

    Tsinghua University, China · The Hong Kong Polytechnic University, China · University of Electronic Science and Technology of China, China +5

  13. Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images

    Jul 30, 2026Juheon Hwang, Taewan Kim, Heeseok Oh +1Inverse RenderingNeural Rendering

    Department of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, South Korea. · Data Science Major, Dongduk Women’s University, Seoul, 02748, South Korea. · Department of Applied AI, Hansung University, Seoul, 02876, South Korea. +1

  14. A Query-Efficient Stochastic Volume Rendering Framework for Time-Varying Implicit Neural Volumes

    Jul 30, 2026Alper Sahistan, Haichao Miao, Zhimin Li +3Implicit Neural RepresentationsNeural Rendering

    University of Arizona

  15. Endo-NeRF++: Uncertainty-Aware Neural Rendering with Multi-Resolution Hash Encoding for Dynamic Surgical Scene Reconstruction

    Jul 30, 2026Gousia Habib, Laura Ruotsalainen3D ReconstructionNeural Rendering

    Department of Computer Science, University of Helsinki, Finland

  16. Deformable Triangle Splatting: Flexible Primitives for Real-Time Radiance Field Rendering

    Jul 24, 2026Oriol Jiménez-Ayguadé, Antonio AgudoDifferentiable RenderingNeural Rendering

    Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain

  17. Hash-QNeRF: Multiresolution Hash Encoding for Quantum Neural Radiance Fields

    Jul 23, 2026Digonto Biswas, Tana Ballove, Anjan Bandyopadhyay +2Neural RenderingHybrid Quantum-Classical ML

    Centres of Innovation and Research KIIT Deemed to be University Bhubaneswar, India

  18. CaT-GS: Efficient 3DGS Rendering for Large Scale Scenes via Inter-frame Caching and Tile Scheduling

    Jul 20, 2026Tingjia Zhang, Bo Chen, Shengzhong Liu +23D Gaussian Splatting3DGS Acceleration

    Shanghai Jiao Tong University · University of Illinois Urbana-Champaign

  19. Rendering 3D Gaussians on a Graph Processor

    Jul 17, 2026Nicholas Fry, Ignacio Alzugaray, Mark Pupilli +23D Gaussian Splatting3DGS Acceleration

    Imperial College London, Department of Computing · Independent Researcher

  20. Bake It Till You Make It: Ultrafast Spatial Texture-Atlas Splatting

    Jul 15, 2026Neel Kelkar, Simon Niedermayr, Kaloian Petkov +23DGS AccelerationNeural Rendering

    Technical University of Munich, Siemens-Healthineers, Munich, Germany · Siemens-Healthineers, Erlangen, Germany

  21. Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator

    Jul 7, 2026Zihan Wang, Seungjun Lee, Yinghao Xu +1Embodied NavigationRobotics Simulation

    National University of Singapore · HKUST

  22. Learning Spectral and Polarimetric Clues for One-to-Multimodal Novel View Synthesis

    Jul 2, 2026Federico Lincetto, Gianluca Agresti, Mattia Rossi +2Neural RenderingNovel View Synthesis

    MEDIA Lab, University of Padova, Padova, Italy · Sony EUISPC, Sony Semiconductor Solutions Europe, Stuttgart, Germany

  23. RenderFormer++: Scalable and Physically Grounded Feed-Forward Neural Rendering

    Jun 29, 2026Huangsheng Du, Haoran Zhu, Youcheng Cai +2Neural RenderingEfficient ViTs

    University of Science and Technology of China, China

  24. Walking in the Implicit: Interactive World Exploration via Neural Scene Representation

    Jun 29, 2026Zhiqi Li, Chengrui Dong, Zhenhua Du +6Camera-Conditioned Video GenerationLong-Horizon Video Generation

    Zhejiang University · Westlake University · Afari Intelligent Drive

  25. DANTE-W: Diffuse Albedo Neural Texturing in the Wild

    Jun 26, 2026Guangyu Wang, Tianheng Lu, Ruqi Huang +1Inverse RenderingNeural Rendering

    1Tsinghua University, Beijing 100084, China

  26. Extracting Neural Materials from Multi-view Images

    Jun 25, 2026Kim Youwang, Jon Hasselgren, Peter Kocsis +3Inverse RenderingDifferentiable Rendering

    NVIDIA · POSTECH · 1NVIDIA 2POSTECH +3

  27. Generative Relightable Avatars

    Jun 21, 2026Kunwar Maheep Singh, Christian Theobalt, Rishabh DabralNeural Rendering3D Avatar Generation

    Max Planck Institute for Informatics, Saarland Informatics Campus

  28. Stochastic Signed Distance Processes

    Jun 18, 2026Hiroki Sakuma, Masatoshi OkutomiUncertainty QuantificationNeural Rendering

    Department of Systems and Control Engineering Institute of Science Tokyo

  29. EDoF-NeRF: extended depth-of-field neural radiance fields using a coded aperture camera

    Jun 17, 2026Yoshiyuki Shirasaki, Ryoichi HorisakiNeural RenderingNeural Radiance Fields

    Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

  30. STAR-NT: Spatiotemporal Acceleration of Real-Time Neural Transparency Rendering

    Jun 15, 2026Grigoris Tsopouridis, Christos Georgiou-Mousses, Aris Panagiotidis +6Neural Rendering

    University of Ioannina, Greece · Athens University of Economics and Business, Greece · Huawei Ireland Research Center, Ireland