https://nerfies.github.io/
Nerfies: Deformable Neural Radiance Fields
Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.
neural radiancenerfiesdeformablefields
https://arxiv.org/abs/2302.04264
[2302.04264] Nerfstudio: A Modular Framework for Neural Radiance Field Development
Abstract page for arXiv paper 2302.04264: Nerfstudio: A Modular Framework for Neural Radiance Field Development
neural radiance fieldmodular framework2302
https://www.kucoin.com/ms/how-to-buy/neural-radiance-field
Cara untuk Membeli Neural Radiance Field | KuCoin
Berminat untuk membeli Neural Radiance Field atau menerokai mata wang kripto lain? Ini merupakan tempat yang sesuai untuk anda! Lihat semua cara dan langkah...
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https://openreview.net/forum?id=Iv11TSweoJ
I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions | OpenReview
Participating in efforts to endow generative AI with the 3D physical world perception, we propose I2-NeRF, a novel neural radiance field framework that...
neural radiance
https://openreview.net/forum?id=mX56bKDybu5
Neural Radiance Field Codebooks | OpenReview
Learning geometrically-aware, object-centric representations through elastic bottlenecks and a differentiable renderer for downstream tasks.
neural radiance fieldcodebooksopenreview
https://openreview.net/forum?id=cHhGmXDiHp
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial...
Generalizable Neural Radiance Fields (GNeRF) are one of the most promising real-world solutions for novel view synthesis, thanks to their cross-scene...
neural radianceuncoveringvulnerability
https://deepai.org/publication/foveated-neural-radiance-fields-for-real-time-and-egocentric-virtual-reality
Foveated Neural Radiance Fields for Real-Time and Egocentric Virtual Reality | DeepAI
Mar 30, 2021 - 03/30/21 - Traditional high-quality 3D graphics requires large volumes of fine-detailed scene data for rendering. This demand compromises com...
neural radiancefor real
https://arxiv.org/abs/2207.02621
[2207.02621] VMRF: View Matching Neural Radiance Fields
Abstract page for arXiv paper 2207.02621: VMRF: View Matching Neural Radiance Fields
neural radiance2207vmrfviewmatching
https://openreview.net/forum?id=3aVZhMfsyz
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction | OpenReview
Neural radiance fields (NeRFs) are able to synthesize realistic novel views from multi-view images captured from distinct positions and perspectives. In NeRF's...
neural radiance fieldvolumefeaturerenderingfast
https://openreview.net/forum?id=3SLW-YIw7tX&referrer=%5Bthe%20profile%20of%20Ingmar%20Schubert%5D(%2Fprofile%3Fid%3D~Ingmar_Schubert1)
Reinforcement Learning with Neural Radiance Fields | OpenReview
We learn state representations of scenes using supervision from neural radiance fields, and show that using these in downstream reinforcement learning tasks...
reinforcement learningneural radiancefieldsopenreview
https://arxiv.org/html/2402.14196v1
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
anti aliasedneural radiancemipgridrepresentations
https://www.mdpi.com/2072-4292/16/2/301
Comparative Assessment of Neural Radiance Fields and Photogrammetry in Digital Heritage: Impact of...
This paper conducts a comparative evaluation between Neural Radiance Fields (NeRF) and photogrammetry for 3D reconstruction in the cultural heritage domain....
neural radiance
https://openreview.net/forum?id=jlAUHAtq0E2&referrer=%5Bthe%20profile%20of%20Shuhong%20Zheng%5D(%2Fprofile%3Fid%3D~Shuhong_Zheng1)
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields | OpenReview
Comprehensive 3D scene understanding, both geometrically and semantically, is important for real-world applications such as robot perception. Most of the...
neural radiancebeyondrgbsceneproperty
https://arxiv.org/abs/2402.14196v1
[2402.14196v1] Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
Abstract page for arXiv paper 2402.14196v1: Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
anti aliasedneural radiance2402mipgrid
https://openreview.net/forum?id=IYmUVGlOwG
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning | OpenReview
As previous representations for reinforcement learning cannot effectively incorporate a human-intuitive understanding of the 3D environment, they usually...
neural radiancereinforcement learningsemanticawarefields
https://deepai.org/publication/stochastic-neural-radiance-fields-quantifying-uncertainty-in-implicit-3d-representations
Stochastic Neural Radiance Fields:Quantifying Uncertainty in Implicit 3D Representations | DeepAI
Sep 5, 2021 - 09/05/21 - Neural Radiance Fields (NeRF) has become a popular framework for learning implicit 3D representations and addressing different tas...
neural radiancestochasticfields
https://www.kucoin.com/how-to-buy/neural-radiance-field
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https://openreview.net/forum?id=oj5c3cC73F&referrer=%5Bthe%20profile%20of%20Zhifan%20Ye%5D(%2Fprofile%3Fid%3D~Zhifan_Ye1)
Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications |...
Recent breakthroughs in Neural Radiance Fields (NeRFs) have sparked significant demand for their integration into real-world 3D applications. However, the...
general purposeneural radiance
https://arxiv.org/abs/2012.03065
[2012.03065] Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
Abstract page for arXiv paper 2012.03065: Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
neural radiance
https://research.google/pubs/regnerf-regularizing-neural-radiance-fields-for-view-synthesis-from-sparse-inputs/
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
neural radianceview synthesisfields
https://openreview.net/forum?id=T1VHxkaow2
Self-Evolving Neural Radiance Fields | OpenReview
Recently, neural radiance field (NeRF) has shown remarkable performance in novel view synthesis and 3D reconstruction. However, it still requires abundant...
neural radianceselfevolvingfieldsopenreview
https://huggingface.co/papers/2305.06356
Paper page - HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
Join the discussion on this paper page
high fidelityneural radiance
https://www.amazon.science/blog/adapting-neural-radiance-fields-nerfs-to-dynamic-scenes
Adapting neural radiance fields (NeRFs) to dynamic scenes - Amazon Science
Mar 26, 2024 - Representing light and density fields as weighted sums over basis functions, whose weights vary over time, improves motion capture, texture, and lighting.
neural radianceadaptingfieldsnerfsdynamic
https://www.amazon.science/publications/multimodal-neural-radiance-field
Multimodal neural radiance field - Amazon Science
This paper addresses the challenge of reconstructing a scene with a neural radiance field (NeRF) for robot vision and scene understanding using multiple...
neural radiance fieldmultimodalamazonscience
https://www.neural-radiance-fields.com/
Nerf Consulting | Neural Radiance Fields
neural radiancenerfconsultingfields
https://openreview.net/forum?id=pTCZWSDltG
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields | OpenReview
Neural Radiance Fields (NeRFs) have achieved impressive results in novel view synthesis and surface reconstruction tasks. However, their performance suffers...
neural radianceimagecorrespondencepriorsfields
https://github.com/thomasneff/AdaNeRF
GitHub - thomasneff/AdaNeRF: AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance...
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields - thomasneff/AdaNeRF
real time renderingadaptive sampling
https://openreview.net/forum?id=Optg9vKMNe&referrer=%5Bthe%20profile%20of%20Tong%20Zhang%5D(%2Fprofile%3Fid%3D~Tong_Zhang9)
InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields |...
We propose InNeRF360, an automatic system that accurately removes text-specified objects from 360-degree Neural Radiance Fields (NeRF). The challenge is to...
https://openreview.net/forum?id=lzhYJt55Yf
INPC: Implicit Neural Point Clouds for Radiance Field Rendering | OpenReview
We introduce a new approach for reconstruction and novel view synthesis of unbounded real-world scenes. In contrast to previous methods using either volumetric...
point cloudsradiance fieldinpcimplicitneural
https://arxiv.org/abs/2003.08934?ref=louisbouchard.ai
[2003.08934] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Abstract page for arXiv paper 2003.08934: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/synthesiaresearch/humanrf
GitHub - synthesiaresearch/humanrf: Official code for "HumanRF: High-Fidelity Neural Radiance...
Official code for "HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion" - synthesiaresearch/humanrf
high fidelitygithubofficialcodeneural
https://arxiv.org/abs/2403.19780
[2403.19780] Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
Abstract page for arXiv paper 2403.19780: Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
https://openreview.net/forum?id=7kc4gtEk3b
A Comprehensive Benchmark for Neural Human Radiance Fields | OpenReview
The past two years have witnessed a significant increase in interest concerning NeRF-based human body rendering. While this surge has propelled considerable...
comprehensivebenchmarkneuralhumanradiance
https://www.mathworks.com/help/vision/ug/reconstruct-scene-generate-novel-views-nerf.html
Reconstruct 3-D Scenes and Synthesize Novel Views Using Neural Radiance Field Model - MATLAB &...
Reconstruct 3-D scenes and synthesize novel views from a set of 2-D images using the Nerfacto Neural Radiance Field (NeRF) model.
https://deepai.org/publication/contranerf-generalizable-neural-radiance-fields-for-synthetic-to-real-novel-view-synthesis-via-contrastive-learning
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via...
Mar 20, 2023 - 03/20/23 - Although many recent works have investigated generalizable NeRF-based novel view synthesis for unseen scenes, they seldom consider...
https://openreview.net/forum?id=KglFYlTiASW
Neural Transmitted Radiance Fields | OpenReview
Neural radiance fields (NeRF) have brought tremendous progress to novel view synthesis. Though NeRF enables the rendering of subtle details in a scene by...
neuraltransmittedradiancefieldsopenreview
https://huggingface.co/papers/2003.08934
Paper page - NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Join the discussion on this paper page
https://deepai.org/publication/nerfingmvs-guided-optimization-of-neural-radiance-fields-for-indoor-multi-view-stereo
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo | DeepAI
Sep 2, 2021 - 09/02/21 - In this work, we present a new multi-view depth estimation method that utilizes both conventional SfM reconstruction and learning-...
https://openreview.net/forum?id=bLKcCe7hYh
UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving |...
Multi-camera setups find widespread use across various applications, such as autonomous driving, as they greatly expand sensing capabilities. Despite the fast...
https://arxiv.org/abs/2303.10598
[2303.10598] StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
Abstract page for arXiv paper 2303.10598: StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
zero shot
https://huggingface.co/papers/2305.11588
Paper page - Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Join the discussion on this paper page
3d scene
https://openreview.net/forum?id=No3mbanRlZJ
Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation | OpenReview
We propose a novel framework for the generation of tactile data using a combination of NeRF and conditional GAN models. Results demonstrate potential to...
https://arxiv.org/abs/2311.15803v3
[2311.15803v3] SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance...
Abstract page for arXiv paper 2311.15803v3: SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields
https://dev.to/aimodels-fyi/universal-nerf-adapter-new-framework-enables-easy-task-switching-for-any-neural-radiance-field-3enc
Universal NeRF Adapter: New Framework Enables Easy Task Switching for Any Neural Radiance Field -...
Universal NeRF Adapter: New Framework Enables Easy Task Switching for Any Neural Radiance Field. Tagged with machinelearning, ai, programming, datascience.