Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Yonggan, Qu, Huaizhi, Ye, Zhifan, Li, Chaojian, Zhao, Kevin, Lin, Yingyan Celine |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
by: Li, Chaojian, et al.
Published: (2023)
by: Li, Chaojian, et al.
Published: (2023)
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers
by: Li, Chaojian, et al.
Published: (2025)
by: Li, Chaojian, et al.
Published: (2025)
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
by: Fu, Yonggan, et al.
Published: (2020)
by: Fu, Yonggan, et al.
Published: (2020)
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
by: Li, Chaojian, et al.
Published: (2021)
by: Li, Chaojian, et al.
Published: (2021)
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering
by: Li, Chaojian, et al.
Published: (2022)
by: Li, Chaojian, et al.
Published: (2022)
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
by: Fu, Yonggan, et al.
Published: (2022)
by: Fu, Yonggan, et al.
Published: (2022)
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors
by: Li, Chaojian, et al.
Published: (2022)
by: Li, Chaojian, et al.
Published: (2022)
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
by: You, Haoran, et al.
Published: (2021)
by: You, Haoran, et al.
Published: (2021)
Neural Radiance Field-based Visual Rendering: A Comprehensive Review
by: Yao, Mingyuan, et al.
Published: (2024)
by: Yao, Mingyuan, et al.
Published: (2024)
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
by: Fu, Yonggan, et al.
Published: (2020)
by: Fu, Yonggan, et al.
Published: (2020)
Redefining Recon: Bridging Gaps with UAVs, 360 degree Cameras, and Neural Radiance Fields
by: Surmann, Hartmut, et al.
Published: (2023)
by: Surmann, Hartmut, et al.
Published: (2023)
Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields
by: Liu, Tianqi, et al.
Published: (2024)
by: Liu, Tianqi, et al.
Published: (2024)
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
by: Fu, Yonggan, et al.
Published: (2022)
by: Fu, Yonggan, et al.
Published: (2022)
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
by: Qu, Delin, et al.
Published: (2024)
by: Qu, Delin, et al.
Published: (2024)
INPC: Implicit Neural Point Clouds for Radiance Field Rendering
by: Hahlbohm, Florian, et al.
Published: (2024)
by: Hahlbohm, Florian, et al.
Published: (2024)
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
by: Wang, Haoyuan, et al.
Published: (2024)
by: Wang, Haoyuan, et al.
Published: (2024)
Global-guided Focal Neural Radiance Field for Large-scale Scene Rendering
by: Shao, Mingqi, et al.
Published: (2024)
by: Shao, Mingqi, et al.
Published: (2024)
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
by: Wu, Bichen, et al.
Published: (2021)
by: Wu, Bichen, et al.
Published: (2021)
When Gaussian Meets Surfel: Ultra-fast High-fidelity Radiance Field Rendering
by: Ye, Keyang, et al.
Published: (2025)
by: Ye, Keyang, et al.
Published: (2025)
Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment
by: Du, Zhenbang, et al.
Published: (2025)
by: Du, Zhenbang, et al.
Published: (2025)
Triangle Splatting for Real-Time Radiance Field Rendering
by: Held, Jan, et al.
Published: (2025)
by: Held, Jan, et al.
Published: (2025)
Instant Photorealistic Neural Radiance Fields Stylization
by: Li, Shaoxu, et al.
Published: (2023)
by: Li, Shaoxu, et al.
Published: (2023)
NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction
by: Zhang, Zhongqun, et al.
Published: (2024)
by: Zhang, Zhongqun, et al.
Published: (2024)
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering
by: Hamdi, Abdullah, et al.
Published: (2024)
by: Hamdi, Abdullah, et al.
Published: (2024)
Progressive Radiance Distillation for Inverse Rendering with Gaussian Splatting
by: Ye, Keyang, et al.
Published: (2024)
by: Ye, Keyang, et al.
Published: (2024)
AG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene Rendering
by: Guo, Jingfeng, et al.
Published: (2024)
by: Guo, Jingfeng, et al.
Published: (2024)
Is-NeRF: In-scattering Neural Radiance Field for Blurred Images
by: Luo, Nan, et al.
Published: (2025)
by: Luo, Nan, 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)
by: Ye, Zhifan, et al.
Published: (2025)
Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Rendering
by: Wu, Jingqian, et al.
Published: (2024)
by: Wu, Jingqian, et al.
Published: (2024)
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
Deblurring Neural Radiance Fields with Event-driven Bundle Adjustment
by: Qi, Yunshan, et al.
Published: (2024)
by: Qi, Yunshan, et al.
Published: (2024)
Dynamic Appearance Particle Neural Radiance Field
by: Lin, Ancheng, et al.
Published: (2023)
by: Lin, Ancheng, et al.
Published: (2023)
OmniGS: Fast Radiance Field Reconstruction using Omnidirectional Gaussian Splatting
by: Li, Longwei, et al.
Published: (2024)
by: Li, Longwei, et al.
Published: (2024)
E$^{3}$NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images
by: Qi, Yunshan, et al.
Published: (2024)
by: Qi, Yunshan, et al.
Published: (2024)
MSI-NeRF: Linking Omni-Depth with View Synthesis through Multi-Sphere Image aided Generalizable Neural Radiance Field
by: Yan, Dongyu, et al.
Published: (2024)
by: Yan, Dongyu, et al.
Published: (2024)
Similar Items
-
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
by: Fu, Yonggan, et al.
Published: (2023) -
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
by: Fu, Yonggan, et al.
Published: (2023) -
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
by: Li, Chaojian, et al.
Published: (2023) -
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers
by: Li, Chaojian, et al.
Published: (2025) -
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
by: Fu, Yonggan, et al.
Published: (2020)