Paper Citation Record · LEDGER

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.14596.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.14596 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 74eb8d30-323d-455e-80ab-7a4324618718 · outbound

This paper cites Deep se- mantic segmentation of natural and medical images: a re- view.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Deep se- mantic segmentation of natural and medical images: a re- view

Reference 1

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This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 2

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This paper cites Emerg- ing properties in self-supervised vision transformers.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Emerg- ing properties in self-supervised vision transformers

Reference 3

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This paper cites Interactive Segment Anything NeRF with Feature Imitation.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Interactive Segment Anything NeRF with Feature Imitation

Reference 4

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Selective visual repre- sentations improve convergence and generalization for em- bodied ai

Reference 5

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This paper cites OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views

Reference 6

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This paper cites Deep multi-modal object de- tection and semantic segmentation for autonomous driving: Datasets, methods, and challenges.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Deep multi-modal object de- tection and semantic segmentation for autonomous driving: Datasets, methods, and challenges

Reference 7

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Scal- ing open-vocabulary image segmentation with image-level labels

Reference 8

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This paper cites Unsupervised Semantic Segmentation by Distilling Feature Correspondences.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Reference 9

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This paper cites Semantic scene segmentation for robotics.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Semantic scene segmentation for robotics

Reference 10

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF 3d gaussian splatting for real-time radiance field rendering

Reference 11

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Lerf: Language embedded radiance fields

Reference 12

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Eagle: Eigen aggregation learning for object-centric unsupervised semantic segmentation

Reference 13

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Garfield: Group anything with radiance fields

Reference 14

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Panoptic segmentation

Reference 15

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Segment anything

Reference 16

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This paper cites Decomposing nerf for editing via feature field distil- lation.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Decomposing nerf for editing via feature field distil- lation

Reference 17

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Smooseg: smoothness prior for unsupervised semantic segmentation

Reference 18

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Language-driven semantic seg- mentation

Reference 19

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Acseg: Adaptive conceptualization for unsupervised semantic seg- mentation

Reference 20

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This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 21

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF U3ds3: Unsupervised 3d semantic scene segmenta- tion

Reference 22

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Weakly supervised 3d open- vocabulary segmentation

Reference 23

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Sanerf-hq: Segment anything for nerf in high quality

Reference 24

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Nerf: Representing scenes as neural radiance fields for view syn- thesis

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This paper cites Review the state-of-the-art technologies of semantic segmentation based on deep learning.Neurocomputing, 493: 626–646, 2022.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Review the state-of-the-art technologies of semantic segmentation based on deep learning.Neurocomputing, 493: 626–646, 2022

Reference 26

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Instant neural graphics primitives with a multires- olution hash encoding

Reference 27

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF DINOv2: Learning Robust Visual Features without Supervision

Reference 28

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Openscene: 3d scene understanding with open vocabularies

Reference 29

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This paper cites Learning transferable visual models from natural language supervi- sion.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Learning transferable visual models from natural language supervi- sion

Reference 30

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Language embedded 3d gaussians for open- vocabulary scene understanding

Reference 32

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF The Replica Dataset: A Digital Replica of Indoor Spaces

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Nerfstudio: A modular framework for neural radiance field development

Reference 34

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Neural feature fusion fields: 3d distillation of self- supervised 2d image representations

Reference 35

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This paper cites Clip-dinoiser: Teaching clip a few dino tricks for open- vocabulary semantic segmentation.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Clip-dinoiser: Teaching clip a few dino tricks for open- vocabulary semantic segmentation

Reference 36

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Growsp: Unsupervised semantic segmentation of 3d point clouds

Reference 37

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Open-vocabulary uni- versal image segmentation with maskclip

Reference 38

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF In-place scene labelling and understanding with implicit scene representation

Reference 39

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DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Supervised semantic segmentation based on deep learning: a survey

Reference 40

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This paper cites Generalized decoding for pixel, image, and language.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Generalized decoding for pixel, image, and language

Reference 41

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This paper cites Additional Architecture Details Some architecture details and minor contributions have been overlooked in the main paper that we want to cover here.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Additional Architecture Details Some architecture details and minor contributions have been overlooked in the main paper that we want to cover here

Reference 42

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This paper cites Hyperparameters In this section, we list the used hyperparameters for our dif- ferent experiments (both quantitative and qualitative) of the article.

DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF Hyperparameters In this section, we list the used hyperparameters for our dif- ferent experiments (both quantitative and qualitative) of the article

Reference 43

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