FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment | Paper Citation Record

Observation d08c52a0-b7aa-464f-95c0-2ae0733b273d · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Ntire 2017 challenge on single image super-resolution: Dataset and study

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Observation 5621f5a6-0016-4454-8950-4e0f13f710ae · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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This paper cites Test-time adaptation for optical flow estimation using motion vec- tors.IEEE Transactions on Image Processing, 32:4977– 4988, 2023.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Test-time adaptation for optical flow estimation using motion vec- tors.IEEE Transactions on Image Processing, 32:4977– 4988, 2023

Reference 3

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This paper cites Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Reference 4

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Observation 858b24cd-ec90-4e95-9b5b-ba3d95d833c7 · outbound

This paper cites Analysis of representations for domain adapta- tion.Advances in neural information processing systems, 19, 2006.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Analysis of representations for domain adapta- tion.Advances in neural information processing systems, 19, 2006

Reference 5

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Observation be0bc5bf-2380-4fe7-affd-a80af50c01dd · outbound

This paper cites One-shot unsupervised do- main adaptation with personalized diffusion models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment One-shot unsupervised do- main adaptation with personalized diffusion models

Reference 6

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Observation 22215e1a-aa65-4b94-90fb-11310ae2f8f0 · outbound

This paper cites Contrastive model adaptation for cross- condition robustness in semantic segmentation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Contrastive model adaptation for cross- condition robustness in semantic segmentation

Reference 7

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Observation f3619697-bfbb-42f0-b81b-9bc513c4ecad · outbound

This paper cites A naturalistic open source movie for opti- cal flow evaluation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment A naturalistic open source movie for opti- cal flow evaluation

Reference 8

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Observation 5bcc08aa-ea56-459d-8297-c38ef80144e9 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment nuscenes: A multi- modal dataset for autonomous driving

Reference 9

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Observation fe58b432-3508-4e32-9ac5-68102b6070b0 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Toward real-world single image super-resolution: A new benchmark and a new model

Reference 10

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Observation 593a2fdb-1e4e-4a5f-a3a5-e6821fde01e0 · outbound

This paper cites Progressive feature alignment for unsupervised do- main adaptation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Progressive feature alignment for unsupervised do- main adaptation

Reference 11

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Observation 8670cbef-83fe-4269-ac5f-e6b9f0eef27a · outbound

This paper cites Amplitude-phase recombination: Rethink- ing robustness of convolutional neural networks in frequency domain.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Amplitude-phase recombination: Rethink- ing robustness of convolutional neural networks in frequency domain

Reference 12

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Observation cbf49ec6-66e0-4176-a715-8edc3b1e77f4 · outbound

This paper cites S2r-depthnet: Learning a generalizable depth-specific structural representation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment S2r-depthnet: Learning a generalizable depth-specific structural representation

Reference 13

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Observation 9ef0f121-38a6-4074-a59e-1ae979a81b91 · outbound

This paper cites Text-to-image diffusion mod- els are zero shot classifiers.Advances in Neural Information Processing Systems, 36:58921–58937, 2023.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Text-to-image diffusion mod- els are zero shot classifiers.Advances in Neural Information Processing Systems, 36:58921–58937, 2023

Reference 14

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Observation 56b06615-af3f-4704-9720-47e142199f05 · outbound

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

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment The cityscapes dataset for semantic urban scene understanding

Reference 15

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Observation bcb0d816-66e1-4946-a020-3a13ef217528 · outbound

This paper cites Joint distribution optimal transportation for domain adaptation.Advances in neural information pro- cessing systems, 30, 2017.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Joint distribution optimal transportation for domain adaptation.Advances in neural information pro- cessing systems, 30, 2017

Reference 16

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Observation 81c08683-536e-4434-b32f-f1aa20aa2b94 · outbound

This paper cites Domain Adaptation for Visual Applications: A Comprehensive Survey.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Domain Adaptation for Visual Applications: A Comprehensive Survey

Reference 17

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Observation 2716d3f4-b48e-4c81-bc37-8d0ec7150ce3 · outbound

This paper cites Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation

Reference 18

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Observation a6229ce5-1eb0-4a6b-9c85-3134c41c9064 · outbound

This paper cites Training generative neural networks via Maximum Mean Discrepancy optimization.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Training generative neural networks via Maximum Mean Discrepancy optimization

Reference 19

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Observation 983f1c99-4323-4425-833f-feaa658196f2 · outbound

This paper cites A brief review of domain adaptation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment A brief review of domain adaptation

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Observation f817344a-296e-417f-afb4-996d0a1579be · outbound

This paper cites Virtual worlds as proxy for multi-object tracking anal- ysis.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Virtual worlds as proxy for multi-object tracking anal- ysis

Reference 21

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Observation 8d2c328e-9f37-4cf4-afa2-bff39724b06d · outbound

This paper cites Domain-adversarial training of neural networks.Journal of machine learning research, 17(59):1–35, 2016.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Domain-adversarial training of neural networks.Journal of machine learning research, 17(59):1–35, 2016

Reference 22

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Observation 79f90f1d-71c7-49ac-a5fc-81842e49e766 · outbound

This paper cites Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Reference 23

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Observation 962be878-d998-4072-a208-d25d6e272c4d · outbound

This paper cites Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models

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Observation 057b51cc-de30-4cde-b7b1-6639a0a67464 · outbound

This paper cites Classifier-Free Diffusion Guidance.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Classifier-Free Diffusion Guidance

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Observation 39751d7e-35e3-4045-9577-abc1bea3c408 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33, 2022.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Cascaded diffu- sion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33, 2022

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Observation c185016a-95e0-45cf-bcd5-15cba5724e57 · outbound

This paper cites Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation

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Observation 84820182-5f2a-4d5f-9e5d-97f1a68066f3 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Arbitrary style transfer in real-time with adaptive instance normalization

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Observation 00772ae5-e8e3-4de9-8772-3d47b9a2d863 · outbound

This paper cites Dpbridge: La- tent diffusion bridge for dense prediction.arXiv preprint arXiv:2412.20506, 2024.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Dpbridge: La- tent diffusion bridge for dense prediction.arXiv preprint arXiv:2412.20506, 2024

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Observation 5ed75a27-68d0-44a3-b188-98e55ce3f139 · outbound

This paper cites Ddp: Diffusion model for dense visual prediction.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Ddp: Diffusion model for dense visual prediction

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Observation 6a6e5bbb-7964-41aa-ae3d-c4cd595788ff · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Repurpos- ing diffusion-based image generators for monocular depth estimation

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Observation 32c7d410-c270-43e5-a0c5-19ab65eb5259 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Musiq: Multi-scale image quality transformer

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This paper cites Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach

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Observation 2e079107-5f74-4714-9c68-91a89fd435bc · outbound

This paper cites Semi-supervised do- main adaptation via selective pseudo labeling and progres- sive self-training.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Semi-supervised do- main adaptation via selective pseudo labeling and progres- sive self-training

Reference 34

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Observation 56807980-ffec-4631-933b-0e14962c9ee9 · outbound

This paper cites Ex- ploiting diffusion prior for generalizable dense prediction.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Ex- ploiting diffusion prior for generalizable dense prediction

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Observation f1b0ddb5-b3aa-4d30-b6a6-48a36e860488 · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Your diffusion model is secretly a zero-shot classifier

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Observation ac10a987-d80f-4a33-87a3-04d6cb00b29c · outbound

This paper cites Maximum density divergence for domain adaptation.IEEE transactions on pattern analysis and machine intelligence, 43(11):3918–3930, 2020.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Maximum density divergence for domain adaptation.IEEE transactions on pattern analysis and machine intelligence, 43(11):3918–3930, 2020

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Observation 86adab34-8262-4fcb-be91-487012aff1c0 · outbound

This paper cites Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps

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Observation 3ec8d72f-5a72-42d0-99f8-a17d3167d682 · outbound

This paper cites Unsupervised domain adap- tation with progressive adaptation of subspaces.Pattern Recognition, 132:108918, 2022.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Unsupervised domain adap- tation with progressive adaptation of subspaces.Pattern Recognition, 132:108918, 2022

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Observation 47f62d11-b81a-4830-9b01-3a66af7cfa53 · outbound

This paper cites Test- time domain adaptation for monocular depth estimation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Test- time domain adaptation for monocular depth estimation

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Observation ff04ac35-fe92-41e1-871a-1fe3fdbfdfda · outbound

This paper cites Swinir: Image restoration us- ing swin transformer.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Swinir: Image restoration us- ing swin transformer

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Observation 8bc73fb4-5e6d-4dbd-84f2-d8f90597e20b · outbound

This paper cites Common diffusion noise schedules and sample steps are flawed.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Common diffusion noise schedules and sample steps are flawed

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Observation adbd9662-aa1b-4f7d-b8f8-6c658a14ff5c · outbound

This paper cites Diff- bir: Toward blind image restoration with generative diffusion prior.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Diff- bir: Toward blind image restoration with generative diffusion prior

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Observation cb40bd47-23d7-48d2-b85f-7e1be2c23021 · outbound

This paper cites Stability and generalization in structured prediction.Journal of Machine Learning Research, 17(221):1–52, 2016.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Stability and generalization in structured prediction.Journal of Machine Learning Research, 17(221):1–52, 2016

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Observation b14e9997-08d1-4f67-b9e0-7976d4653766 · outbound

This paper cites Conditional adversarial domain adapta- tion.Advances in neural information processing systems, 31, 2018.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Conditional adversarial domain adapta- tion.Advances in neural information processing systems, 31, 2018

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Observation b1232960-8f34-4bd9-a88c-34424cee6acb · outbound

This paper cites Desc: Domain adaptation for depth estimation via semantic con- sistency.International Journal of Computer Vision, 131(3): 752–771, 2023.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Desc: Domain adaptation for depth estimation via semantic con- sistency.International Journal of Computer Vision, 131(3): 752–771, 2023

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Observation 996f0244-af51-4585-b02b-b77891c58d69 · outbound

This paper cites Flowdiffuser: Advancing optical flow estimation with diffusion models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Flowdiffuser: Advancing optical flow estimation with diffusion models

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Observation 56d1d5d6-4d1c-4e04-8062-375107f0d92c · outbound

This paper cites 1 year, 1000 km: The oxford robotcar dataset.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment 1 year, 1000 km: The oxford robotcar dataset

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Observation 361155d2-3b2e-42d0-bcc2-196b30bcc4a6 · outbound

This paper cites Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation

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Observation 98654895-5a7b-4405-afa8-af7a454aba1a · outbound

This paper cites Elucidating the Exposure Bias in Diffusion Models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Elucidating the Exposure Bias in Diffusion Models

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.811786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04517ec6-5a21-4a97-8a3f-50e8ad323294 · outbound

This paper cites Input Perturbation Reduces Exposure Bias in Diffusion Models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Input Perturbation Reduces Exposure Bias in Diffusion Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.818201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c356b1e4-534a-4269-8b9a-cca09be9f826 · outbound

This paper cites an unresolved cited work.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:21.196070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df95d1da-ec04-4498-a28e-e21a4167da97 · outbound

This paper cites Vi- sion transformers for dense prediction.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Vi- sion transformers for dense prediction

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.178419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c114f3ad-8140-49e6-b949-c7bb75ceb797 · outbound

This paper cites Multi-step denoising scheduled sampling: Towards alleviating exposure bias for diffusion models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Multi-step denoising scheduled sampling: Towards alleviating exposure bias for diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.161220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 748dc212-6971-4fa8-9571-dc97dc0665c9 · outbound

This paper cites Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.849864Z

Source-reported events for the cited work

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Observation 909e9647-0c46-4578-b6db-df14a9c85007 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment High-resolution image synthesis with latent diffusion models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.855302Z

Source-reported events for the cited work

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Observation 23af3349-460c-4459-a54b-1f962581e4f0 · outbound

This paper cites Universal domain adaptation through self supervi- sion.Advances in neural information processing systems, 33:16282–16292, 2020.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Universal domain adaptation through self supervi- sion.Advances in neural information processing systems, 33:16282–16292, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.124185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 268e47b6-1d58-4516-90ed-5762eba6b3d4 · outbound

This paper cites an unresolved cited work.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:21.105655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a747f126-8f90-4cb3-8205-ac4259192876 · outbound

This paper cites Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.090591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b34a87e-4250-4b7e-9d89-af488ac0760a · outbound

This paper cites The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.Advances in Neural Information Processing Systems, 36:39443–39469, 2023.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.Advances in Neural Information Processing Systems, 36:39443–39469, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.073442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b30d417-a09a-4b36-a4d1-85399315bb29 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural in- formation processing systems, 35:25278–25294, 2022.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural in- formation processing systems, 35:25278–25294, 2022

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.879727Z

Source-reported events for the cited work

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Observation 0889ca79-dcd9-4641-83a1-e5b0b2464a49 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Indoor segmentation and support inference from rgbd images

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.045805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eec69955-e386-4bb9-90ce-d24c92cdcc1c · outbound

This paper cites Diffusion Guided Domain Adaptation of Image Generators.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Diffusion Guided Domain Adaptation of Image Generators

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Resolution: verified exact; local_arxiv, observed 2026-08-06T22:46:20.139813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa169ab3-d830-4d59-b287-1eb309eb2695 · outbound

This paper cites Autoflow: Learning a better training set for optical flow.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Autoflow: Learning a better training set for optical flow

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.029942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4898237-482d-436a-8fc8-b453c1885907 · outbound

This paper cites Unsupervised Domain Adaptation through Self-Supervision.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Unsupervised Domain Adaptation through Self-Supervision

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.903728Z

Source-reported events for the cited work

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Observation 13890410-d25c-4b70-9a17-0d5fe242f842 · outbound

This paper cites Distortion-aware convolutional filters for dense prediction in panoramic images.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Distortion-aware convolutional filters for dense prediction in panoramic images

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:21.014094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation acc29d2e-d527-4322-a40c-8333a2414ef4 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Ntire 2017 challenge on single image super-resolution: Methods and results

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.998254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a39be25-dd89-45de-b205-cbd6eaac3d61 · outbound

This paper cites Dacs: Domain adaptation via cross- domain mixed sampling.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Dacs: Domain adaptation via cross- domain mixed sampling

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.982751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 763f8b0b-c150-44b5-9e4a-1e0f38b817b1 · outbound

This paper cites Adversarial discriminative domain adaptation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Adversarial discriminative domain adaptation

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.931176Z

Source-reported events for the cited work

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Observation ef5f7697-3834-4581-9591-914aefc95741 · outbound

This paper cites Undaf: A general unsupervised domain adapta- tion framework for disparity or optical flow estimation.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Undaf: A general unsupervised domain adapta- tion framework for disparity or optical flow estimation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.957834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24763833-f11c-442f-8a66-7c3c98003eec · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, 132(12):5929–5949, 2024.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, 132(12):5929–5949, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.939485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 953e67b4-75a1-44a4-9c9f-6cc9ca7a8727 · outbound

This paper cites Deep visual domain adapta- tion: A survey.Neurocomputing, 312:135–153, 2018.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Deep visual domain adapta- tion: A survey.Neurocomputing, 312:135–153, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.923293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bde136e7-e78e-4288-8457-01585f8980ec · outbound

This paper cites Rethinking maxi- mum mean discrepancy for visual domain adaptation.IEEE Transactions on Neural Networks and Learning Systems, 34 (1):264–277, 2021.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Rethinking maxi- mum mean discrepancy for visual domain adaptation.IEEE Transactions on Neural Networks and Learning Systems, 34 (1):264–277, 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0481fa58-fe45-4dea-9cb9-eb496c569971 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.958446Z

Source-reported events for the cited work

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Observation 9f2c88ab-a477-45b9-8eb8-c5014c286691 · outbound

This paper cites Component divide- and-conquer for real-world image super-resolution.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Component divide- and-conquer for real-world image super-resolution

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.879455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d683b409-2957-4fae-8dd9-a908e423fa79 · outbound

This paper cites Multi-block domain adaptation with central mo- ment discrepancy for fault diagnosis.Measurement, 169: 108516, 2021.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Multi-block domain adaptation with central mo- ment discrepancy for fault diagnosis.Measurement, 169: 108516, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.861538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81ef28ee-e9ae-4e07-9850-5fb4b7df9837 · outbound

This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Maniqa: Multi-dimension attention network for no-reference image quality assessment

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.843127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9934f0c3-48e3-4ae8-bf81-7f7090efb6f4 · outbound

This paper cites Learning to recover 3d scene shape from a single image.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Learning to recover 3d scene shape from a single image

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.823766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f65ee1c2-1f13-4f9a-8e5f-9d3845e9a541 · outbound

This paper cites Optical flow domain adaptation via target style trans- fer.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Optical flow domain adaptation via target style trans- fer

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.805665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f18e451b-8161-46c2-b772-7e2613bbefce · outbound

This paper cites HRFormer: High-Resolution Transformer for Dense Prediction.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment HRFormer: High-Resolution Transformer for Dense Prediction

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.990624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a17991-d17f-41ae-ac74-f0d3c332e7db · outbound

This paper cites Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:19.995918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01eac61a-330e-4ab4-b0d4-fde0c6667b18 · outbound

This paper cites Three things we need to know about trans- ferring stable diffusion to visual dense prediction tasks.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Three things we need to know about trans- ferring stable diffusion to visual dense prediction tasks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.787576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cf1e53a-5976-48cb-b8b5-0bc6a5d832cf · outbound

This paper cites Optical flow in the dark.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Optical flow in the dark

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.769403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe121ffa-2503-4b93-b779-9e9c045c78e0 · outbound

This paper cites Unsu- pervised cumulative domain adaptation for foggy scene op- tical flow.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Unsu- pervised cumulative domain adaptation for foggy scene op- tical flow

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.752411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50f858cf-6d67-4507-adb1-27a0a605c948 · outbound

This paper cites Conditional text image generation with diffu- sion models.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Conditional text image generation with diffu- sion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.734596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c6bd0c7-e9f5-40e8-8b4b-d8169582cf53 · outbound

This paper cites Flowie: Efficient image enhancement via rectified flow.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Flowie: Efficient image enhancement via rectified flow

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:20.714301Z

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