Cover Image

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chaojian, Li, Sixu, Zhao, Yang, Zhu, Wenbo, Lin, Yingyan Celine
Format:	Preprint
Published:	2022
Subjects:	Hardware Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction
by: Li, Sixu, et al.
Published: (2023)

Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
by: Fu, Yonggan, et al.
Published: (2023)

Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers
by: Li, Chaojian, et al.
Published: (2025)

Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR
by: Ye, Zhifan, et al.
Published: (2025)

FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering
by: Noh, Seock-Hwan, et al.
Published: (2025)

i-FlatCam: A 253 FPS, 91.49 $μ$J/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR
by: Zhao, Yang, et al.
Published: (2022)

MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
by: Li, Chaojian, et al.
Published: (2023)

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
by: Fu, Yonggan, et al.
Published: (2023)

GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting
by: Li, Sixu, et al.
Published: (2025)

HERO: Hardware-Efficient RL-based Optimization Framework for NeRF Quantization
by: Zhang, Yipu, et al.
Published: (2025)

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
by: Fu, Yonggan, et al.
Published: (2021)

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy
by: Feng, Yu, et al.
Published: (2025)

SpNeRF: Memory Efficient Sparse Volumetric Neural Rendering Accelerator for Edge Devices
by: Zhang, Yipu, et al.
Published: (2025)

Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations
by: Feng, Yu, et al.
Published: (2024)

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
by: Wan, Zishen, et al.
Published: (2024)

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering
by: Huang, Wei-Hsing, et al.
Published: (2025)

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
by: Wan, Zishen, et al.
Published: (2024)

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems
by: Yu, Zhongzhi, et al.
Published: (2025)

SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity
by: Li, Xingyang, et al.
Published: (2025)

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
by: You, Haoran, et al.
Published: (2021)

Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices
by: Zhao, Yiwei, et al.
Published: (2024)

No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering
by: Wei, Linye, et al.
Published: (2025)

High Utilization Energy-Aware Real-Time Inference Deep Convolutional Neural Network Accelerator
by: Lin, Kuan-Ting, et al.
Published: (2025)

MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
by: Zhang, Yongan, et al.
Published: (2024)

3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits
by: Zhao, Yujie, et al.
Published: (2023)

A Survey of Neural Network Variational Monte Carlo from a Computing Workload Characterization Perspective
by: Xiao, Zhengze, et al.
Published: (2026)

Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture
by: Feng, Yu, et al.
Published: (2024)

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
by: You, Haoran, et al.
Published: (2022)

Side-channel Inference of User Activities in AR/VR Using GPU Profiling
by: Son, Seonghun, et al.
Published: (2025)

EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design
by: You, Haoran, et al.
Published: (2022)

Towards an End-To-End System for Real-Time Gesture Recognition from Surface Vibrations
by: Hettstedt, Florian, et al.
Published: (2026)

Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
by: Zhang, Niansong, et al.
Published: (2025)

ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering
by: Liu, Fangxin, et al.
Published: (2025)

Real-Time Adaptive Neural Network on FPGA: Enhancing Adaptability through Dynamic Classifier Selection
by: Bouazzaoui, Achraf El, et al.
Published: (2023)

Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization
by: Zhu, He, et al.
Published: (2025)

Work-in-Progress: Real-Time Neural Network Inference on a Custom RISC-V Multicore Vector Processor
by: Kirschner, Maximilian, et al.
Published: (2024)

VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering
by: Lee, Junseo, et al.
Published: (2025)

Linear Complexity Fermionic Simulation on Quantum Devices with Hardware Connectivity Constraints
by: Gao, Xiangyu, et al.
Published: (2026)

Computing-In-Memory Aware Model Adaption For Edge Devices
by: Lin, Ming-Han, et al.
Published: (2025)

PowerFlow-DNN: Compiler-Directed Fine-Grained Power Orchestration for End-to-End Edge AI Inference
by: Chen, Paul, et al.
Published: (2026)