Paper Citation Record · LEDGER

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2507.15365.

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

pith.paper-citation-record.v1
2507.15365 v1

Coverage vector

measured 53 of 53 reference resolution

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T14:21:06.803833Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 5fad716a-bec8-470a-9574-7cea7d2eceff · outbound

This paper cites Black, Priyanka Patel, Joachim Tesch, and Jinlong Yang.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Black, Priyanka Patel, Joachim Tesch, and Jinlong Yang

Reference 1

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This paper cites Richter, and Vladlen Koltun.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Richter, and Vladlen Koltun

Reference 2

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Observation 44cf8f50-715c-4f92-ad52-f995dae3ac3f · outbound

This paper cites Find: An unsupervised implicit 3d model of articulated human feet.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Find: An unsupervised implicit 3d model of articulated human feet

Reference 3

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Unresolved cited work

Reference 4

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Observation c76b02bd-81ed-4445-9c06-73c386b7825f · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data The cityscapes dataset for semantic urban scene understanding

Reference 5

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Observation 654e70ec-8199-4e5d-aae1-bee50acdc60d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Imagenet: A large-scale hierarchical image database

Reference 6

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Observation f733ba57-0540-452a-8dd6-428102205170 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

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Observation 6495c1cf-05e7-447f-b908-3ab7868d354e · outbound

This paper cites Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans

Reference 8

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This paper cites Renderpeople.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Renderpeople

Reference 9

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Observation 274499d9-ade9-4013-a192-b91d345f2547 · outbound

This paper cites High-fidelity 3d human digitization from single 2k resolution images.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data High-fidelity 3d human digitization from single 2k resolution images

Reference 10

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Observation 5787c614-2dc1-47f3-b062-72791496f114 · outbound

This paper cites Look ma, no markers: holistic perfor- mance capture without the hassle.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Look ma, no markers: holistic perfor- mance capture without the hassle

Reference 11

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This paper cites Context-aware image matting for simultaneous foreground and alpha estimation.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Context-aware image matting for simultaneous foreground and alpha estimation

Reference 12

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Observation aa7c3958-323c-4222-8277-d426f3b5f312 · outbound

This paper cites Learning high fidelity depths of dressed humans by watching social media dance videos.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Learning high fidelity depths of dressed humans by watching social media dance videos

Reference 13

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Observation 56e39657-dd80-4405-908d-c48d6a3ed198 · outbound

This paper cites Whole-body human pose estimation in the wild.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Whole-body human pose estimation in the wild

Reference 14

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Observation 5e426d5c-e286-4a44-a79e-44e02b921071 · outbound

This paper cites Fairface: Face at- tribute dataset for balanced race, gender, and age for bias mea- surement and mitigation.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Fairface: Face at- tribute dataset for balanced race, gender, and age for bias mea- surement and mitigation

Reference 15

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Observation dd60efe3-a235-48b3-87fc-fb47d30e44e4 · outbound

This paper cites Modnet: Real-time trimap-free portrait matting via objective decomposition.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Modnet: Real-time trimap-free portrait matting via objective decomposition

Reference 16

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Observation e2e7fa24-8035-4596-ac5f-72aa0fda1243 · outbound

This paper cites Sapiens: Foundation for human vision mod- els.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Sapiens: Foundation for human vision mod- els

Reference 17

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Observation d7a36859-4e40-4cfc-87cd-0f3baa3deb6f · outbound

This paper cites Privacy- preserving portrait matting.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Privacy- preserving portrait matting

Reference 18

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Real-time high-resolution background matting

Reference 19

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This paper cites Microsoft coco: Common objects in context.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Microsoft coco: Common objects in context

Reference 20

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Observation 1310717f-348e-44a1-ada3-e9f5ce2f1863 · outbound

This paper cites A new dataset and boundary-attention semantic segmentation for face parsing.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data A new dataset and boundary-attention semantic segmentation for face parsing

Reference 21

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 22

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Decoupled Weight Decay Regularization

Reference 23

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This paper cites Rapid acquisi- tion of specular and diffuse normal maps from polarized spherical gradient illumination.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Rapid acquisi- tion of specular and diffuse normal maps from polarized spherical gradient illumination

Reference 24

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Amass: Archive of motion capture as surface shapes

Reference 25

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Jewett, Simon Venshtain, Christopher Heilman, Yueh-Tung Chen, Sidi Fu, Mohamed Ezzeldin A

Reference 26

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Kinect- facedb: A kinect database for face recognition

Reference 27

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Unresolved cited work

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This paper cites Huang, Joachim Tesch, David T.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Huang, Joachim Tesch, David T

Reference 29

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Eyelid fold consistency in facial modeling

Reference 31

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

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Learning transferable visual models from natural language supervi- sion

Reference 32

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Vi- sion transformers for dense prediction

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Em- bodied hands: modeling and capturing hands and bodies together

Reference 36

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This paper cites 300 faces in-the-wild challenge: database and results.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data 300 faces in-the-wild challenge: database and results

Reference 37

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data 300 faces in-the-wild challenge: Database and results

Reference 38

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This paper cites Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization

Reference 39

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Learning to regress 3D face shape and expression from an image without 3D supervision

Reference 40

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This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced segmen- tations.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Generalised dice overlap as a deep learning loss function for highly unbalanced segmen- tations

Reference 41

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Face mask extraction in video sequence

Reference 42

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Cashman, and Jamie Shotton

Reference 43

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Icon: Implicit clothed humans obtained from normals

Reference 44

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Econ: Explicit clothed humans optimized via normal integration

Reference 45

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Depth anything v2

Reference 46

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Observation ce8d9a97-7f9f-4479-ae6b-57873c5aa460 · outbound

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Wider face: A face detection benchmark

Reference 47

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Observation 2c856417-eb6c-4499-9f7d-c276e07c63a4 · outbound

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Synbody: Synthetic dataset with layered human models for 3d human perception and modeling

Reference 48

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DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Hi4d: 4d instance segmentation of close human interaction

Reference 49

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This paper cites Function4d: Real-time human volu- metric capture from very sparse consumer rgbd sensors.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Function4d: Real-time human volu- metric capture from very sparse consumer rgbd sensors

Reference 50

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Observation 6dcf0b05-6a97-42e4-b052-ceb5c068562d · outbound

This paper cites Lightweight portrait matting via regional attention and refinement.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Lightweight portrait matting via regional attention and refinement

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:57.183737Z

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Observation b54f9ecb-2f3a-4264-9341-0e467701afdb · outbound

This paper cites IEEE, 2009.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data IEEE, 2009

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:04.597088Z

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Observation 74a7a153-a601-4e4c-ad6b-1542fd59a9d6 · outbound

This paper cites an unresolved cited work.

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:40:01.514178Z

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Pith citing papers

Observation f05e34a1-92cc-4dd1-88fe-0960ec2dcf81 · inbound

Sapiens2 cites this paper.

Sapiens2 DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

Reference 23

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Observation df15b44c-68d9-4506-b5ad-15320431b80f · inbound

Video Generation Models are General-Purpose Vision Learners cites this paper.

Video Generation Models are General-Purpose Vision Learners DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

Reference 56

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Source-reported events for the cited work

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