Fast Image Super-Resolution via Consistency Rectified Flow | Paper Citation Record

Observation 3e1a706a-b3ad-4d31-9e60-cbd47cc86d87 · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.056210Z

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Observation 20fd1530-4522-49f1-87b0-0bfe3ebc1588 · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow Toward real-world single image super-resolution: A new benchmark and a new model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.130034Z

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Observation b2f7ffb6-af91-46cf-a168-a8302173eb27 · outbound

This paper cites Adversarial diffu- sion compression for real-world image super-resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Adversarial diffu- sion compression for real-world image super-resolution

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.126276Z

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Observation 74a1d907-bfb0-42d2-a367-b0346a5fabf3 · outbound

This paper cites Taming diffusion prior for image super-resolution with domain shift sdes.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Taming diffusion prior for image super-resolution with domain shift sdes.NeurIPS

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.043084Z

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Observation ca15be22-f4b8-4ed5-932c-cf50d3b76677 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.TPAMI.

Fast Image Super-Resolution via Consistency Rectified Flow Image quality assessment: Unifying structure and texture similarity.TPAMI

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.031264Z

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Observation c3580fa4-4f2e-4c40-9f4e-f0c4819ca30f · outbound

This paper cites Learning a deep convolutional network for image super-resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Learning a deep convolutional network for image super-resolution

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.128157Z

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Observation bc43ae4d-7755-414f-aa97-2560cda93872 · outbound

This paper cites Tsd-sr: One-step diffusion with target score distillation for real-world image super-resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Tsd-sr: One-step diffusion with target score distillation for real-world image super-resolution

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.027172Z

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Observation 464e76e0-bf7d-433d-b1c9-fd2d399cee6c · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Fast Image Super-Resolution via Consistency Rectified Flow Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.060001Z

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Observation 3e14e06a-7b9d-4b76-870f-33455391f265 · outbound

This paper cites Generative adversarial nets.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Generative adversarial nets.NeurIPS

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.029393Z

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Observation cfb0635a-2ec7-41a5-bfb7-48ba478e09a1 · outbound

This paper cites One Step Diffusion-based Super-Resolution with Time-Aware Distillation.

Fast Image Super-Resolution via Consistency Rectified Flow One Step Diffusion-based Super-Resolution with Time-Aware Distillation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:15:46.872581Z

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Observation 0eb80de4-35fb-40ab-b93f-df65a8dd2e40 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.NeruIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Gans trained by a two time-scale update rule converge to a local nash equilib- rium.NeruIPS

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.050570Z

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Observation df6e6206-7403-4617-944f-adcad0a9f699 · outbound

This paper cites Denoising diffu- sion probabilistic models.NeruIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Denoising diffu- sion probabilistic models.NeruIPS

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.025106Z

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Observation c7e919da-c340-4fb0-a23d-df2d27d459bb · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Fast Image Super-Resolution via Consistency Rectified Flow Lora: Low-rank adaptation of large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.023244Z

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Observation 76ef7a7d-5783-411f-9c4c-ac4a48d7c777 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Fast Image Super-Resolution via Consistency Rectified Flow A style-based generator architecture for generative adversarial networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.078477Z

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Observation 3d941a08-1f18-4a43-8677-d7ecac4c49bd · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow Musiq: Multi-scale image quality transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.105690Z

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Observation 9391e808-8b75-4c81-9225-354d9359c004 · outbound

This paper cites Consistency trajectory mod- els: Learning probability flow ode trajectory of diffusion.

Fast Image Super-Resolution via Consistency Rectified Flow Consistency trajectory mod- els: Learning probability flow ode trajectory of diffusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.101953Z

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Observation 9fa66226-3e37-4182-b5d0-4f544eabff99 · outbound

This paper cites Flux.https://github.com/ black-forest-labs/flux.

Fast Image Super-Resolution via Consistency Rectified Flow Flux.https://github.com/ black-forest-labs/flux

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.074856Z

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Observation 8fcebf9d-8a38-49aa-a8f6-285eba1a4ca5 · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

Fast Image Super-Resolution via Consistency Rectified Flow Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.044904Z

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Observation de01487e-39c5-4238-946b-90067d7139a7 · outbound

This paper cites Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator.

Fast Image Super-Resolution via Consistency Rectified Flow Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:15:46.885518Z

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Observation 1c3d8e2f-18d3-4d1a-9a5e-67068e591877 · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

Fast Image Super-Resolution via Consistency Rectified Flow Lsdir: A large scale dataset for image restoration

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.076682Z

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Observation e33bfe3a-5d47-466a-bf7a-f21a3e0528de · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow Swinir: Image restoration us- ing swin transformer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.114735Z

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Observation ae805965-3451-4615-937c-06a746bde195 · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow Diff- bir: Toward blind image restoration with generative diffusion prior

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.092321Z

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Observation b6a13937-7bda-4ac3-af28-218c84cd8428 · outbound

This paper cites Flow matching for generative mod- eling.

Fast Image Super-Resolution via Consistency Rectified Flow Flow matching for generative mod- eling

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.136006Z

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Observation 4c7d1bfd-8ac8-45bb-915a-624fb4d7a4fa · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Fast Image Super-Resolution via Consistency Rectified Flow Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.112925Z

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Observation a44f5f9e-0d19-43fa-acea-f79b14ef294b · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

Fast Image Super-Resolution via Consistency Rectified Flow Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.088399Z

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Observation f39f32da-15d7-477e-a6bd-2228b0af31c7 · outbound

This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.

Fast Image Super-Resolution via Consistency Rectified Flow Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:15:46.875645Z

Source-reported events for the cited work

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Observation 3f6a2845-1eb7-4754-8760-5fdf001268f5 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Fast Image Super-Resolution via Consistency Rectified Flow Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:15:46.891677Z

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Observation f16237e3-1717-412f-94ac-58f9e370d467 · outbound

This paper cites completely blind.

Fast Image Super-Resolution via Consistency Rectified Flow completely blind

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.063514Z

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Observation 02efc788-5df4-4911-84b7-846c675c8a5c · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Fast Image Super-Resolution via Consistency Rectified Flow T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.065388Z

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Observation 429debad-add7-436f-919c-0c09e3c1cf34 · outbound

This paper cites You only need one step: Fast super-resolution with stable diffusion via scale distillation.

Fast Image Super-Resolution via Consistency Rectified Flow You only need one step: Fast super-resolution with stable diffusion via scale distillation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.033153Z

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Observation 2112f1ee-29a8-4215-a4e5-9fb624618034 · outbound

This paper cites Towards realis- tic data generation for real-world super-resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Towards realis- tic data generation for real-world super-resolution

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.071179Z

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Observation fb38fb9c-3682-4cc0-aa87-d0e9a26d687c · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Fast Image Super-Resolution via Consistency Rectified Flow Learn- ing transferable visual models from natural language super- vision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.090239Z

Source-reported events for the cited work

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Observation 5ccb1cd4-915b-4e2f-809b-4cbd422c7b76 · outbound

This paper cites Ultrapixel: Advancing ultra high-resolution image synthesis to new peaks.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Ultrapixel: Advancing ultra high-resolution image synthesis to new peaks.NeurIPS

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.116856Z

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Observation 59f782c8-a53f-41df-ac2b-2e7a184e6003 · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow High-resolution image syn- thesis with latent diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.137928Z

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Observation 73baf30c-481d-4153-88dc-5b7a23b29bd4 · outbound

This paper cites Image super- resolution via iterative refinement.TPAMI.

Fast Image Super-Resolution via Consistency Rectified Flow Image super- resolution via iterative refinement.TPAMI

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.120440Z

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Observation e3a04904-59c8-40fd-b1bc-4dd944d09be7 · outbound

This paper cites Fast high- resolution image synthesis with latent adversarial diffusion distillation.

Fast Image Super-Resolution via Consistency Rectified Flow Fast high- resolution image synthesis with latent adversarial diffusion distillation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.058124Z

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Observation cd573648-9f1b-4d68-a952-6021cdb29d8d · outbound

This paper cites Adversarial diffusion distillation.

Fast Image Super-Resolution via Consistency Rectified Flow Adversarial diffusion distillation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.109245Z

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Observation ff28b137-b683-4afb-b4e3-3b69ea75c993 · outbound

This paper cites Boosting latent diffusion with flow match- ing.

Fast Image Super-Resolution via Consistency Rectified Flow Boosting latent diffusion with flow match- ing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.124380Z

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Observation dd7a67e2-276a-4e34-805f-d0096c7cb5c9 · outbound

This paper cites Denois- ing diffusion implicit models.

Fast Image Super-Resolution via Consistency Rectified Flow Denois- ing diffusion implicit models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.122264Z

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Observation e9eebe2d-0bdd-49d6-8967-4c5e2eee664e · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

Fast Image Super-Resolution via Consistency Rectified Flow Score-based generative modeling through stochastic differential equa- tions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.073079Z

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Observation 1b212326-4efe-4e50-abeb-2174bdec341a · outbound

This paper cites Consistency models.

Fast Image Super-Resolution via Consistency Rectified Flow Consistency models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.118578Z

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Observation f7585993-55b1-4d96-b80a-6c035913d026 · outbound

This paper cites Coser: Bridging image and language for cognitive super-resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Coser: Bridging image and language for cognitive super-resolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.111088Z

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Observation 9ffb64a2-65c6-4056-a8ed-09d07eaf3ccb · outbound

This paper cites Phased consistency models.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Phased consistency models.NeurIPS

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.098215Z

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Observation 34a8a166-c0e6-4901-b247-4c62517cd5d3 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Fast Image Super-Resolution via Consistency Rectified Flow Ex- ploring clip for assessing the look and feel of images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.103887Z

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Observation d683fe87-fe9f-4e3a-93d2-4d2af541ab97 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.IJCV.

Fast Image Super-Resolution via Consistency Rectified Flow Exploiting diffusion prior for real-world image super-resolution.IJCV

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.100112Z

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Observation 05595fd2-a446-418c-a8d3-ff31613c8e8a · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:15:46.882200Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db404336-0049-4f80-9d22-6a137b826b15 · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Fast Image Super-Resolution via Consistency Rectified Flow Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.096422Z

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Observation 6021ca47-869c-4adc-a0fa-d7c28c66c971 · outbound

This paper cites Sinsr: diffusion-based image super- resolution in a single step.

Fast Image Super-Resolution via Consistency Rectified Flow Sinsr: diffusion-based image super- resolution in a single step

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.036954Z

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Observation 4bf98e1e-8f1c-4eef-b04c-209b212a6ca1 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.NeurIPS

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.067261Z

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Observation 6c403d50-32f1-471a-9652-9c6fc0796971 · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow Component divide-and-conquer for real-world image super-resolution

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.069073Z

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Observation bb51552f-64c1-439c-ac72-b0a46daea71b · outbound

This paper cites One-step effective diffusion network for real-world image super-resolution.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow One-step effective diffusion network for real-world image super-resolution.NeurIPS

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.134132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a047b2b5-dea0-45d3-8a35-2f07a8e0521c · outbound

This paper cites Seesr: Towards semantics-aware real-world image super-resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Seesr: Towards semantics-aware real-world image super-resolution

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.082198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0a7268b-4adb-4c44-8a16-26f8555bebab · outbound

This paper cites Tack- ling the generative learning trilemma with denoising diffu- sion gans.

Fast Image Super-Resolution via Consistency Rectified Flow Tack- ling the generative learning trilemma with denoising diffu- sion gans

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.131937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 281b2202-e3e8-4d29-8528-49d0147645f8 · outbound

This paper cites AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation.

Fast Image Super-Resolution via Consistency Rectified Flow AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:15:46.878983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a17ba89-8851-42cf-940c-4ac8ed5f3fa8 · outbound

This paper cites Perflow: Piecewise rectified flow as universal plug-and-play accelerator.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Perflow: Piecewise rectified flow as universal plug-and-play accelerator.NeurIPS

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.052469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a673959-d42a-4284-bb2a-920cb8a1438c · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

Fast Image Super-Resolution via Consistency Rectified Flow Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:15:46.888749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ec48922-a0bf-48c0-824a-f3a229573c1e · outbound

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

Fast Image Super-Resolution via Consistency Rectified Flow Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.054339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd6b5f67-79e2-48af-838d-00b93f33a526 · outbound

This paper cites Pixel-aware stable diffusion for realistic im- age super-resolution and personalized stylization.

Fast Image Super-Resolution via Consistency Rectified Flow Pixel-aware stable diffusion for realistic im- age super-resolution and personalized stylization

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.039183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81d54441-646c-41ca-8b35-f335b758d5e7 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

Fast Image Super-Resolution via Consistency Rectified Flow Improved distribution matching distillation for fast image synthesis

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.048673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20af6ef4-affb-4cbd-bf7d-72087a6fdfa2 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Fast Image Super-Resolution via Consistency Rectified Flow One-step diffusion with distribution matching distillation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.107522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab3515d4-ed8a-40bb-9567-c75bc9003ec1 · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild.

Fast Image Super-Resolution via Consistency Rectified Flow Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.046840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 586ce14c-ac77-4af8-b148-504f308f4273 · outbound

This paper cites Resshift: Efficient diffusion model for image super- resolution by residual shifting.NeurIPS.

Fast Image Super-Resolution via Consistency Rectified Flow Resshift: Efficient diffusion model for image super- resolution by residual shifting.NeurIPS

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.080337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43d1abcf-ac44-4a20-86ac-ab48a9a66e1d · outbound

This paper cites Arbitrary-steps image super-resolution via diffusion inver- sion.

Fast Image Super-Resolution via Consistency Rectified Flow Arbitrary-steps image super-resolution via diffusion inver- sion

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.035055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 865d351b-e450-44ba-9264-8172501bd8f5 · outbound

This paper cites Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors.

Fast Image Super-Resolution via Consistency Rectified Flow Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:15:46.894606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56123cc8-3259-4212-b28e-b4418206b507 · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Fast Image Super-Resolution via Consistency Rectified Flow Designing a practical degradation model for deep blind image super-resolution

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.061840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b766145-7def-4960-a3c7-7fe20c9d19f5 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Fast Image Super-Resolution via Consistency Rectified Flow Adding conditional control to text-to-image diffusion models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.084148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8de95fa9-68f0-4b58-8c62-01a75e5a03d8 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Fast Image Super-Resolution via Consistency Rectified Flow The unreasonable effectiveness of deep features as a perceptual metric

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.041100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71c5576b-b502-44d0-bdda-a1afe4a65d41 · outbound

This paper cites The fine-tuned SR flow model is then used to initialize both the SR modelθand the teacher modelϕ.

Fast Image Super-Resolution via Consistency Rectified Flow The fine-tuned SR flow model is then used to initialize both the SR modelθand the teacher modelϕ

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.094472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7461dcee-41e8-4631-86ad-dc7691a45c9c · outbound

This paper cites Evaluation on DIV2K-Val We also evaluate our method on the DIV2K-Val dataset [1, 45].

Fast Image Super-Resolution via Consistency Rectified Flow Evaluation on DIV2K-Val We also evaluate our method on the DIV2K-Val dataset [1, 45]

Reference 69

Resolution: malformed identifier; arxiv_id, observed 2026-07-01T14:15:46.897788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9bd485e0-700a-410a-bf89-fa90d82bf832 · outbound

This paper cites We provide valuable insights into the effective use of flow-based techniques and consistency learning to achieve competitive SR results in a single-step setting.

Fast Image Super-Resolution via Consistency Rectified Flow We provide valuable insights into the effective use of flow-based techniques and consistency learning to achieve competitive SR results in a single-step setting

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T14:53:56.086369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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