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OV-NeRF: Open-Vocabulary Neural Radiance Fields With Vision and Language Foundation Models for 3D Semantic Understanding

https://doi.org/10.1109/tcsvt.2024.3439737

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58452-8_24openalex-snapshot

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

inferredcites →https://doi.org/10.1007/978-3-031-19815-1_40openalex-snapshot

Extract Free Dense Labels from CLIP

inferredcites →https://doi.org/10.1007/978-3-031-19824-3_20openalex-snapshot

TensoRF: Tensorial Radiance Fields

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/bf02310791openalex-snapshot

Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition

inferredcites →https://doi.org/10.1038/s41467-024-44824-zopenalex-snapshot

Segment anything in medical images

inferredcites →https://doi.org/10.1109/3dv57658.2022.00056openalex-snapshot

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations

inferredcites →https://doi.org/10.1109/cvpr.2017.261openalex-snapshot

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00455openalex-snapshot

pixelNeRF: Neural Radiance Fields from One or Few Images

inferredcites →https://doi.org/10.1109/cvpr52688.2022.00539openalex-snapshot

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01629openalex-snapshot

RegionCLIP: Region-based Language-Image Pretraining

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01786openalex-snapshot

NeRFReN: Neural Radiance Fields with Reflections

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00276openalex-snapshot

Reproducible Scaling Laws for Contrastive Language-Image Learning

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00288openalex-snapshot

Side Adapter Network for Open-Vocabulary Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00682openalex-snapshot

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP

inferredcites →https://doi.org/10.1109/iccv48922.2021.00580openalex-snapshot

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

inferredcites →https://doi.org/10.1109/iccv48922.2021.00581openalex-snapshot

Nerfies: Deformable Neural Radiance Fields

inferredcites →https://doi.org/10.1109/iccv48922.2021.00951openalex-snapshot

Emerging Properties in Self-Supervised Vision Transformers

inferredcites →https://doi.org/10.1109/iccv48922.2021.01554openalex-snapshot

In-Place Scene Labelling and Understanding with Implicit Scene Representation

inferredcites →https://doi.org/10.1109/iccv51070.2023.00100openalex-snapshot

A Simple Framework for Open-Vocabulary Segmentation and Detection

inferredcites →https://doi.org/10.1109/iccv51070.2023.00371openalex-snapshot

Segment Anything

inferredcites →https://doi.org/10.1109/iccv51070.2023.01804openalex-snapshot

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

inferredcites →https://doi.org/10.1109/iccv51070.2023.01807openalex-snapshot

LERF: Language Embedded Radiance Fields

inferredcites →https://doi.org/10.1109/iccvw.2019.00494openalex-snapshot

Multi-View PointNet for 3D Scene Understanding

inferredcites →https://doi.org/10.1109/icra48891.2023.10160969openalex-snapshot

Visual Language Maps for Robot Navigation

inferredcites →https://doi.org/10.1109/tcsvt.2021.3079991openalex-snapshot

Active Learning Based 3D Semantic Labeling From Images and Videos

inferredcites →https://doi.org/10.1109/tcsvt.2023.3239541openalex-snapshot

DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation

inferredcites →https://doi.org/10.1109/tcsvt.2023.3273546openalex-snapshot

Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences

inferredcites →https://doi.org/10.1109/tcsvt.2023.3300170openalex-snapshot

Representing Boundary-Ambiguous Scene Online With Scale-Encoded Cascaded Grids and Radiance Field Deblurring

inferredcites →https://doi.org/10.1109/tcsvt.2024.3385360openalex-snapshot

Depth-Guided Robust Point Cloud Fusion NeRF for Sparse Input Views

inferredcites →https://doi.org/10.1109/tits.2020.2972974openalex-snapshot

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

inferredcites →https://doi.org/10.1109/tpami.2023.3263464openalex-snapshot

Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo

inferredcites →https://doi.org/10.1109/tpami.2023.3305295openalex-snapshot

StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints

inferredcites →https://doi.org/10.1109/tvcg.2022.3202503openalex-snapshot

NerfCap: Human Performance Capture With Dynamic Neural Radiance Fields

inferredcites →https://doi.org/10.1109/tvcg.2023.3247082openalex-snapshot

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

inferredcites →https://doi.org/10.1145/3054739openalex-snapshot

BundleFusion

inferredcites →https://doi.org/10.1145/3528223.3530127openalex-snapshot

Instant neural graphics primitives with a multiresolution hash encoding

inferredcites →https://doi.org/10.15607/rss.2023.xix.066openalex-snapshot

ConceptFusion: Open-set multimodal 3D mapping

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4892701openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-032-37356-4_17openalex-snapshot

Vision-Language Memory for Spatial Reasoning

inferred← citeshttps://doi.org/10.1007/978-3-032-37432-5_7openalex-snapshot

GlassGS: Geometry and Concept-Aware 3D Gaussian Splatting for Reflective Enclosures

inferred← citeshttps://doi.org/10.1007/s11831-026-10538-2openalex-snapshot

Advances in Light Field Salient Object Detection: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109685openalex-snapshot

Benchmarking neural radiance fields for autonomous robots: An overview

inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105465openalex-snapshot

Feature Field Fusion for few-shot novel view synthesis

inferred← citeshttps://doi.org/10.1038/s40494-025-02031-zopenalex-snapshot

3D segmentation method for stone cultural relics utilizing multi-modal feature enhancement based on SAM

inferred← citeshttps://doi.org/10.1080/01691864.2026.2738311openalex-snapshot

A review of open-vocabulary semantic mapping and navigation with foundation models for mobile robots

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01052openalex-snapshot

SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs

inferred← citeshttps://doi.org/10.1109/icme59968.2025.11210111openalex-snapshot

Sparse-view 3D Open-vocabulary Gaussian Splatting via Collaborative Contrastive Learning

inferred← citeshttps://doi.org/10.1109/icra55743.2025.11128059openalex-snapshot

Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph

inferred← citeshttps://doi.org/10.1109/icra55743.2025.11128304openalex-snapshot

LE-Object: Language Embedded Object-Level Neural Radiance Fields for Open-Vocabulary Scene

inferred← citeshttps://doi.org/10.1109/iros60139.2025.11247378openalex-snapshot

OpenGS-Fusion: Open-Vocabulary Dense Mapping with Hybrid 3D Gaussian Splatting for Refined Object-Level Understanding

inferred← citeshttps://doi.org/10.1109/lra.2024.3511401openalex-snapshot

OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields With Fine-Grained Understanding

inferred← citeshttps://doi.org/10.1109/tccn.2026.3662333openalex-snapshot

From Local to Global: Semantic Communication-Driven Remote 3D Scene Reconstruction Using Low-Altitude Platforms

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3551779openalex-snapshot

Uncertainty Neural Surfaces for Space Target 3D Reconstruction Under Constrained Views

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3588848openalex-snapshot

GEDR: Gaussian-Enhanced Detail Reconstruction for Real-Time High-Fidelity 3D Scene Reconstruction

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3596317openalex-snapshot

Drim-NeRF: Diffusion-Based Restoration for Improving Neural Radiance Fields

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3602970openalex-snapshot

Medical VLP Model Is Vulnerable: Toward Multimodal Adversarial Attack on Large Medical Vision-Language Models

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3656967openalex-snapshot

Generalizable Occlusion-Aware Human Novel View Synthesis From Image Pairs

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3675320openalex-snapshot

Semantic Gaussians: Open-Vocabulary Scene Understanding With 3D Gaussian Splatting

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3675846openalex-snapshot

Part-Level Semantic Fusion for Sketch-Based 3D Voxel Reconstruction

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3677101openalex-snapshot

Distilling Features From Vision Foundation Models for Effective Memory-Based Video Colorization

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3684661openalex-snapshot

SAH-NeRF: Enhancing NeRF on Novel View Synthesis With an SNN–ANN Hybrid Framework

inferred← citeshttps://doi.org/10.1109/tpami.2025.3576839openalex-snapshot

Gaussian Prompter: Linking 2D Prompts for 3D Gaussian Segmentation

inferred← citeshttps://doi.org/10.1109/tvcg.2026.3668359openalex-snapshot

Editing 3D Scenes via Text Prompts Without Retraining

inferred← citeshttps://doi.org/10.1109/tvcg.2026.3680710openalex-snapshot

LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting

inferred← citeshttps://doi.org/10.1145/3676967openalex-snapshot

Rethinking Feature Mining for Light Field Salient Object Detection

inferred← citeshttps://doi.org/10.1145/3746284openalex-snapshot

CLIP-GS: CLIP-Informed Gaussian Splatting for View-Consistent 3D Indoor Semantic Understanding

inferred← citeshttps://doi.org/10.1177/02783649251390579openalex-snapshot

What foundation models can bring for robot learning in manipulation: A survey

inferred← citeshttps://doi.org/10.7717/peerj-cs.3866openalex-snapshot

NeRFUS: neural radiance fields with uncertainty and semantics

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