Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting | Paper Citation Record

Observation e1355a76-1825-4b92-800c-a24a321c0c1e · outbound

This paper cites Toward understanding generative data augmentation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Toward understanding generative data augmentation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0040ee0-1618-4b32-aef5-256a16bdfbc0 · outbound

This paper cites Fake it till you make it: Learning transferable representations from synthetic imagenet clones.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Fake it till you make it: Learning transferable representations from synthetic imagenet clones

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4adee76-9cc6-4d31-967f-8da41b43cf27 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f1fa29-079b-496b-9735-bee8fccbe2e1 · outbound

This paper cites Is synthetic data from generative models ready for image recognition? In The Eleventh International Conference on Learning Representations, 2023.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Is synthetic data from generative models ready for image recognition? In The Eleventh International Conference on Learning Representations, 2023

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2c5211-a986-49b6-ace6-cecaa2330971 · outbound

This paper cites IS SYNTHETIC DATA USEFUL FOR TRANSFER LEARNING? AN INVESTI- GATION INTO DATA GENERATION, VOLUME, AND UTILIZATION, 2024.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting IS SYNTHETIC DATA USEFUL FOR TRANSFER LEARNING? AN INVESTI- GATION INTO DATA GENERATION, VOLUME, AND UTILIZATION, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 023d64d6-e998-4e95-bccf-3bd68770886f · outbound

This paper cites Scaling laws of synthetic images for model training.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Scaling laws of synthetic images for model training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc2659c-c68a-4188-9145-e1a3c13844d4 · outbound

This paper cites Datadream: Few-shot guided dataset generation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Datadream: Few-shot guided dataset generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c971d12c-d49b-4963-ae13-54842c6cff96 · outbound

This paper cites Real-fake: Effective training data synthesis through distribution matching, 2024.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Real-fake: Effective training data synthesis through distribution matching, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43922f5-fe81-43aa-ac45-82319f87d8a4 · outbound

This paper cites Test-time Alignment of Diffusion Models without Reward Over-optimization.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Test-time Alignment of Diffusion Models without Reward Over-optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06efc3cc-0267-4901-b6ac-ac0bc43f367e · outbound

This paper cites Diffusion curriculum: Synthetic-to-real data curriculum via image-guided diffusion.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Diffusion curriculum: Synthetic-to-real data curriculum via image-guided diffusion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f74dd41-0a71-4898-8edb-bcea2b497560 · outbound

This paper cites Increasing the utility of synthetic images through chamfer guidance.arXiv preprint arXiv:2508.10631, 2025.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Increasing the utility of synthetic images through chamfer guidance.arXiv preprint arXiv:2508.10631, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da328825-6f83-4bc5-bf34-7967acb23b31 · outbound

This paper cites Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09e81351-233f-4430-b173-7485236a1047 · outbound

This paper cites Diversity is definitely needed: Improving model-agnostic zero-shot classification via stable diffusion.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Diversity is definitely needed: Improving model-agnostic zero-shot classification via stable diffusion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b68d655a-4db1-417c-b6b5-bc9d5a5eccd5 · outbound

This paper cites Data augmentation for image classification using generative ai.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Data augmentation for image classification using generative ai

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b8b0bfc-671c-4503-8fe2-8934afddcbba · outbound

This paper cites Gonzalez, and Trevor Darrell.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Gonzalez, and Trevor Darrell

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16792d31-3f06-4c0b-bc1d-0ca6cab6ac43 · outbound

This paper cites Datacomp: In search of the next generation of multimodal datasets.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Datacomp: In search of the next generation of multimodal datasets

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0cdebc-125f-4f48-9fbe-23c03c040cf9 · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ff4a81-3f80-4af4-bbf7-d9e8bd2bfd74 · outbound

This paper cites Effective audio classification network based on paired inverse pyramid structure and dense mlp block.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Effective audio classification network based on paired inverse pyramid structure and dense mlp block

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac906f7-8c75-4b0f-8e54-81e8370727ac · outbound

This paper cites Datasetgan: Efficient labeled data factory with minimal human effort.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Datasetgan: Efficient labeled data factory with minimal human effort

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be454cb5-4a19-43a4-a95e-b86a4b77227c · outbound

This paper cites Improved precision and recall metric for assessing generative models.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Improved precision and recall metric for assessing generative models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d55aa3-9361-4426-ab66-b4a554f74074 · outbound

This paper cites Explore the power of synthetic data on few-shot object detection.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Explore the power of synthetic data on few-shot object detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e53703b0-8ccc-4ccd-9e54-6b75f046c869 · outbound

This paper cites Aerogen: Enhancing remote sensing object detection with diffusion-driven data generation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Aerogen: Enhancing remote sensing object detection with diffusion-driven data generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701fbeee-3d29-4f18-8fb7-993c7adf60fb · outbound

This paper cites Noise-consistent siamese-diffusion for medical image synthesis and segmentation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Noise-consistent siamese-diffusion for medical image synthesis and segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb39eda3-b953-4f45-a4ba-f35afe65198f · outbound

This paper cites Domain gap embeddings for generative dataset augmentation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Domain gap embeddings for generative dataset augmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a7a392-e6e5-4735-a384-1e2a5a38a417 · outbound

This paper cites Training on Thin Air: Improve Image Classification with Generated Data.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Training on Thin Air: Improve Image Classification with Generated Data

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d459ab5-3ac5-41ac-8076-8c320fc6801b · outbound

This paper cites StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa85cf8d-ae67-46d6-a24b-86508a331053 · outbound

This paper cites SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb9119a-aa39-4608-ad89-b239cf7e0b55 · outbound

This paper cites Learning Vision from Models Rivals Learning Vision from Data.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Learning Vision from Models Rivals Learning Vision from Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c857f26-fb2b-4a17-9f99-fa7c40d431a4 · outbound

This paper cites Contrastive Learning with Synthetic Positives.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Contrastive Learning with Synthetic Positives

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4edce16-eeec-482d-9c97-a178e98647a0 · outbound

This paper cites From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3a24af-b873-4412-a4bf-c0b2491d4ad1 · outbound

This paper cites Will large-scale generative models corrupt future datasets? In2023 IEEE/CVF International Conference on Computer Vision (ICCV), page 20498–20508.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Will large-scale generative models corrupt future datasets? In2023 IEEE/CVF International Conference on Computer Vision (ICCV), page 20498–20508

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f393b9-784d-42ab-9a20-510e9ecd2f60 · outbound

This paper cites Do generated data always help contrastive learning?,.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Do generated data always help contrastive learning?,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40335866-76d5-4e75-a5ad-f1c1cf3dd289 · outbound

This paper cites Do Generated Data Always Help Contrastive Learning?.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Do Generated Data Always Help Contrastive Learning?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec97765-2d95-4e05-a482-e97099beef35 · outbound

This paper cites Utilgen: Utility-centric generative data augmentation with dual-level task adaptation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Utilgen: Utility-centric generative data augmentation with dual-level task adaptation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb8dd1a1-5163-4608-89d4-0c095d1684b9 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5102bbca-3efa-42be-ad98-6c3fcb2d8602 · outbound

This paper cites Effective pruning of web-scale datasets based on complexity of concept clusters.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ddd59c0-5359-425d-9ff3-743e332b4780 · outbound

This paper cites Learning what matters: Prioritized concept learning via relative error-driven sample selection.arXiv preprint arXiv:2506.01085, 2025.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Learning what matters: Prioritized concept learning via relative error-driven sample selection.arXiv preprint arXiv:2506.01085, 2025

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f31d0fb-7ed7-44b5-ad15-37ad28aa88b5 · outbound

This paper cites Sampling strategies for gan synthetic data.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Sampling strategies for gan synthetic data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc68cf69-693c-4273-96e6-378cdf4c7b75 · outbound

This paper cites Datasetgan: Efficient labeled data factory with minimal human effort.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Datasetgan: Efficient labeled data factory with minimal human effort

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc878a9-434e-4e76-a39b-50fab4d3db5c · outbound

This paper cites Data aug- mentation for environmental sound classification using diffusion probabilistic model with top-k selection discriminator.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Data aug- mentation for environmental sound classification using diffusion probabilistic model with top-k selection discriminator

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a36b55b-4443-4752-9533-9e799cd9b562 · outbound

This paper cites Strata: Self-training with task augmentation for better few-shot learning.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Strata: Self-training with task augmentation for better few-shot learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74761493-109e-4da7-bbba-f603e8762252 · outbound

This paper cites URL http://dx.doi.org/10.18653/v1/ 2021.emnlp-main.462.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting URL http://dx.doi.org/10.18653/v1/ 2021.emnlp-main.462

Reference 42

Resolution: verified exact; doi, observed 2026-07-12T08:18:38.055039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75a5b133-6f3f-4530-8fd5-34acb5d86302 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Learning transferable visual models from natural language supervision

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c66ea9f-3186-4c3f-a7c0-248261da1b5c · outbound

This paper cites A Training-free Synthetic Data Selection Method for Semantic Segmentation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting A Training-free Synthetic Data Selection Method for Semantic Segmentation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f691097-9cf5-48ed-a8a8-2e2bcc1f2622 · outbound

This paper cites Reliable fidelity and diversity metrics for generative models, 2020.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Reliable fidelity and diversity metrics for generative models, 2020

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1733a7-16b7-4bc7-8970-980bcf9e2457 · outbound

This paper cites Deep data augmentation for weed recognition enhancement: A diffusion probabilistic model and transfer learning based approach.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Deep data augmentation for weed recognition enhancement: A diffusion probabilistic model and transfer learning based approach

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab170a54-206a-4c30-ab61-36acf4682d74 · outbound

This paper cites Diversified in-domain synthesis with efficient fine-tuning for few-shot classification.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Diversified in-domain synthesis with efficient fine-tuning for few-shot classification

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3138cb68-7f93-4c53-8755-673dee28d62e · outbound

This paper cites Effective data augmentation with diffusion models.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Effective data augmentation with diffusion models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27707d05-393f-4eef-a97b-bf0ca7920cd2 · outbound

This paper cites Feedback-guided Data Synthesis for Imbalanced Classification.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Feedback-guided Data Synthesis for Imbalanced Classification

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba36f626-90bb-4bbf-a811-5e001edf2eaa · outbound

This paper cites An Empirical Study of Training Self-Supervised Vision Transformers.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting An Empirical Study of Training Self-Supervised Vision Transformers

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67cdcc85-26b1-4e46-ba97-82d5c266a5b9 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7fd599a-caa0-4a44-a6d1-7e486fb23fc1 · outbound

This paper cites Cifar-10 (canadian institute for advanced research).URL http://www.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Cifar-10 (canadian institute for advanced research).URL http://www

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1645fe86-f844-45da-b47d-20c9f3755c19 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915afd32-b346-485f-9e23-9587f5e683b2 · outbound

This paper cites Better diffusion models further improve adversarial training.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Better diffusion models further improve adversarial training

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdfd6e3f-b029-4178-812f-b60cc2651529 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Analyzing and improving the training dynamics of diffusion models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b221a5b-f291-4d7d-b59d-86e1316069c1 · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Guiding a diffusion model with a bad version of itself

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29302c09-3c78-4e7a-9c0a-165fc331a393 · outbound

This paper cites Contrastive multiview coding.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Contrastive multiview coding

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b56dd3f-ff34-4f6c-a536-166edc5e4920 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27fa6d7-eb42-47ea-9195-d8360478c004 · outbound

This paper cites Fake It Till You Make It: Face analysis in the wild using synthetic data alone.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Fake It Till You Make It: Face analysis in the wild using synthetic data alone

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c9c9d5-9ed1-45dc-a9a8-b60a1f2b0367 · outbound

This paper cites Extracting training data from diffusion models.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Extracting training data from diffusion models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b11d88-b168-479e-bf72-76cd3005c393 · outbound

This paper cites Dcface: Synthetic face generation with dual condition diffusion model.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Dcface: Synthetic face generation with dual condition diffusion model

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10718b42-68bd-464d-a969-cb99d6a14daa · outbound

This paper cites Improving geo-diversity of generated images with contextualized vendi score guidance.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Improving geo-diversity of generated images with contextualized vendi score guidance

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2a931e-c74f-4cbe-ac0f-744e30e54d4b · outbound

This paper cites Jodiffusion: Jointly diffusing image with pixel-level annotations for semantic segmentation promotion.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Jodiffusion: Jointly diffusing image with pixel-level annotations for semantic segmentation promotion

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fabf96b1-c064-451a-b31c-619a7488f66d · outbound

This paper cites Deep residual learning for image recognition.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Deep residual learning for image recognition

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a54c39b0-b0fd-46e8-8f47-44a8930dcd1d · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c800b7-8b16-4739-9f3b-40c2bc93a47e · outbound

This paper cites Visual transformers: Token-based image representation and processing for computer vision, 2020.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Visual transformers: Token-based image representation and processing for computer vision, 2020

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecaaa5b2-8d24-4868-a6d7-9b94e4708068 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Benchmarking neural network robustness to common corruptions and perturbations

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c991d3c9-be5b-451c-a204-dbde66e65342 · outbound

This paper cites Do ImageNet Classifiers Generalize to ImageNet?.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Do ImageNet Classifiers Generalize to ImageNet?

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526058aa-7cee-4b18-9289-cb7246097b13 · outbound

This paper cites Learning robust global represen- tations by penalizing local predictive power.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Learning robust global represen- tations by penalizing local predictive power

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 087933fe-beeb-47d1-b2b8-860c138cb67e · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.Proceedings of the International Conference on Learning Representations, 2019.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Benchmarking neural network robustness to common corruptions and perturbations.Proceedings of the International Conference on Learning Representations, 2019

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5645ab9e-19df-424a-9de5-4d9b31de67c1 · outbound

This paper cites Imagenet-cartoon and imagenet-drawing: two domain shift datasets for imagenet.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Imagenet-cartoon and imagenet-drawing: two domain shift datasets for imagenet

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb15076a-446a-4a51-ac8a-9e1c08c6809e · outbound

This paper cites Cifar- 10-warehouse: Broad and more realistic testbeds in model generalization analysis.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Cifar- 10-warehouse: Broad and more realistic testbeds in model generalization analysis

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7415725-497e-4e16-8399-a4f5550059cf · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22567e67-157c-4098-a6be-1607a1b88357 · outbound

This paper cites Training generative adversarial networks with limited data.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Training generative adversarial networks with limited data

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f035b458-479d-4c57-be9f-73efa8e5ec7f · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Elucidating the design space of diffusion-based generative models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc4d270b-0e46-4383-9fbc-36611f921309 · outbound

This paper cites Sigmoid loss for language image pre-training, 2023.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Sigmoid loss for language image pre-training, 2023

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f83ac2a-5019-482c-a525-30f302e90cba · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26f3c55a-49dc-4604-8e23-c5431f54fe90 · outbound

This paper cites near” set contains canonical patterns, while the “far.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting near” set contains canonical patterns, while the “far

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e1a056-11e1-4925-944e-4e65091e8fc7 · outbound

This paper cites Such property implies that learning the pattern in HO, and then we can reconstruct the whole original feature space with the smallest cost.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Such property implies that learning the pattern in HO, and then we can reconstruct the whole original feature space with the smallest cost

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ebe5f9e-7b24-467a-9cc4-b2543bc34c0b · outbound

This paper cites $NUM_GPU.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting $NUM_GPU

Reference 80

Resolution: malformed identifier; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a56cfd-ffa0-4989-928f-529ea4413c85 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7afb7a9a-54cd-4211-81d2-25e710c94a0f · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9329c6-7ae7-47df-88d4-2b0995b73920 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915aa267-292d-4ff1-8c8b-a21db6773702 · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5b7eb1-9956-476a-b0e1-040be514d338 · outbound

This paper cites common_image.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting common_image

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c21052-07e9-4c1c-8b76-bb8e95b1225b · outbound

This paper cites an unresolved cited work.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ea2102-4edc-46bf-9836-7eca6caaaade · outbound

This paper cites As vision-language models continue to advance,13 synthetic datasets that support multimodal training are becoming increasingly important.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting As vision-language models continue to advance,13 synthetic datasets that support multimodal training are becoming increasingly important

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38464103-6ed1-4cbc-86b0-ccfa133d65c4 · outbound

This paper cites In practice, however, only a small19 reference set is often sufficient, since the partition depends more on relative intra-class similarity than20 on absolute data scale.21.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting In practice, however, only a small19 reference set is often sufficient, since the partition depends more on relative intra-class similarity than20 on absolute data scale.21

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b54a60b9-2173-4784-b63e-38191796bdd3 · outbound

This paper cites Although Fig.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Although Fig

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers