Paper Citation Record · LEDGER

StableCodec: Taming One-Step Diffusion for Extreme Image Compression

As of 7 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 4 inbound Pith citation observations for arXiv:2506.21977.

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

pith.paper-citation-record.v1
2506.21977 v1

Coverage vector

measured 74 of 74 reference resolution

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measured 78 of 78 standing notices

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T20:40:40.055063Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:15.694378Z

Reference resolution

74 of 74 outbound references displayed

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External citation measurements

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Outbound references

Observation 3a1da2c0-194e-4f31-9202-68f2fb63aa32 · outbound

This paper cites https://github.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression https://github

Reference 1

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Observation abb04e62-303b-4948-b5ff-a6da41ac747d · outbound

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

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 2

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Observation a38c350b-5f6e-4f39-90e7-15c9b37ee010 · outbound

This paper cites Generative adversar- ial networks for extreme learned image compression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Generative adversar- ial networks for extreme learned image compression

Reference 3

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Observation b0a4e197-06aa-4fe0-bbbf-42bfcfd5cf19 · outbound

This paper cites Multi-realism image compression with a conditional generator.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Multi-realism image compression with a conditional generator

Reference 4

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Observation a418dc5e-7ae0-4178-b96f-19d69b2affde · outbound

This paper cites End-to-end Optimized Image Compression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression End-to-end Optimized Image Compression

Reference 5

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Observation 11879659-6973-4b07-9ed9-b3c2ea7bcd54 · outbound

This paper cites Variational image compression with a scale hyperprior.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Variational image compression with a scale hyperprior

Reference 6

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Observation 6c9763d4-840f-4d1f-8c3e-2b3192843498 · outbound

This paper cites Demystifying MMD GANs.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Demystifying MMD GANs

Reference 7

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Observation 65506225-2c50-43b0-82cd-7321d0271089 · outbound

This paper cites Calculation of average psnr differences be- tween rd-curves.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Calculation of average psnr differences be- tween rd-curves

Reference 8

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Observation 17f0bc77-a75d-4d9e-b3ca-25b9f7d1df3d · outbound

This paper cites The perception-distortion tradeoff.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression The perception-distortion tradeoff

Reference 9

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Observation d05b86a7-299d-4678-a987-f7bf5a2f8557 · outbound

This paper cites Rethinking lossy com- pression: The rate-distortion-perception tradeoff.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Rethinking lossy com- pression: The rate-distortion-perception tradeoff

Reference 10

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Observation 4a50826f-304f-4b82-9c85-15695985551a · outbound

This paper cites Overview of the versatile video coding (vvc) standard and its applications.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Overview of the versatile video coding (vvc) standard and its applications

Reference 11

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Observation 11b0d747-68ed-48f3-ae8c-5792b922a249 · outbound

This paper cites Towards image compression with per- fect realism at ultra-low bitrates.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Towards image compression with per- fect realism at ultra-low bitrates

Reference 12

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Observation 76820029-0741-4757-8833-11efa41c6d80 · outbound

This paper cites Learned image compression with discretized gaussian mixture likelihoods and attention modules.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Learned image compression with discretized gaussian mixture likelihoods and attention modules

Reference 13

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Observation 1ed91fbe-8386-4daf-b257-8894353450b2 · outbound

This paper cites Perception pri- oritized training of diffusion models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Perception pri- oritized training of diffusion models

Reference 14

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Observation e3c64ea9-51f6-471f-ba28-0afafc0e2c71 · outbound

This paper cites Vision Transformers Need Registers.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Vision Transformers Need Registers

Reference 15

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Observation b738bc74-c4b0-486b-970b-4c63d7e84cfa · outbound

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

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Image quality assessment: Unifying structure and texture similarity

Reference 16

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Observation 5e5d28ed-6c31-4976-be46-1236b131210b · outbound

This paper cites Taming transformers for high-resolution image synthesis.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Taming transformers for high-resolution image synthesis

Reference 17

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Observation 4c630672-21c5-44f6-91c9-82db1c5abec0 · outbound

This paper cites Kodak lossless true color image suite (pho- tocd pcd0992).

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Kodak lossless true color image suite (pho- tocd pcd0992)

Reference 18

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This paper cites Generative adversarial networks.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Generative adversarial networks

Reference 19

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Observation f233c9d4-9c9c-4655-b105-6313a266532e · outbound

This paper cites Causal contextual prediction for learned image com- pression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Causal contextual prediction for learned image com- pression

Reference 20

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Observation 4dcbd5ad-159a-48f9-b13f-2018c7026b80 · outbound

This paper cites Checkerboard context model for effi- cient learned image compression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Checkerboard context model for effi- cient learned image compression

Reference 21

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Observation b145c6e6-1785-4ba0-b421-9b37bfccd493 · outbound

This paper cites Elic: Efficient learned image compres- sion with unevenly grouped space-channel contextual adap- tive coding.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Elic: Efficient learned image compres- sion with unevenly grouped space-channel contextual adap- tive coding

Reference 22

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Observation 2f1b42e4-0592-434c-9a8a-88c9847d5b68 · outbound

This paper cites Po-elic: Perception-oriented efficient learned image coding.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Po-elic: Perception-oriented efficient learned image coding

Reference 23

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Observation 9af87427-63b7-4f7f-8017-80a92c65244e · outbound

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

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 24

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Observation fc65d3c0-4b5f-44a5-a5b7-39d866157ba7 · outbound

This paper cites Denoising dif- fusion probabilistic models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Denoising dif- fusion probabilistic models

Reference 25

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This paper cites High-Fidelity Image Compression with Score-based Generative Models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression High-Fidelity Image Compression with Score-based Generative Models

Reference 26

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression LoRA: Low-Rank Adaptation of Large Language Models

Reference 27

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This paper cites Generative latent coding for ultra-low bitrate image com- pression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Generative latent coding for ultra-low bitrate image com- pression

Reference 28

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Observation 6978ebd7-f8f8-4862-a977-5c09963f3398 · outbound

This paper cites Mlic++: Linear complex- ity multi-reference entropy modeling for learned image com- pression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Mlic++: Linear complex- ity multi-reference entropy modeling for learned image com- pression

Reference 29

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Mlic: Multi-reference entropy model for learned image compression

Reference 30

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Observation c0403855-b25a-4340-9e7e-7aa012a546de · outbound

This paper cites Mixture of Diffusers for scene composition and high resolution image generation.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Mixture of Diffusers for scene composition and high resolution image generation

Reference 31

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This paper cites Auto-Encoding Variational Bayes.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Auto-Encoding Variational Bayes

Reference 32

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This paper cites Egic: enhanced low-bit-rate generative image compression guided by semantic segmentation.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Egic: enhanced low-bit-rate generative image compression guided by semantic segmentation

Reference 33

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Observation 22b85cf1-1ecf-451a-9b5e-1b612dea9a0f · outbound

This paper cites PerCo (SD): Open Perceptual Compression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression PerCo (SD): Open Perceptual Compression

Reference 34

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This paper cites Ensembling off-the-shelf models for gan training.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Ensembling off-the-shelf models for gan training

Reference 35

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Observation c64a7763-411b-44a7-ac7b-f14a4758a0f0 · outbound

This paper cites Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity

Reference 36

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This paper cites Text + Sketch: Image Compression at Ultra Low Rates.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Text + Sketch: Image Compression at Ultra Low Rates

Reference 37

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This paper cites Neural video compression with diverse contexts.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Neural video compression with diverse contexts

Reference 38

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This paper cites USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s

Reference 39

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This paper cites Towards extreme image compression with latent feature guidance and diffusion prior.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Towards extreme image compression with latent feature guidance and diffusion prior

Reference 40

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Observation 66e1d753-fdc1-446c-a140-fd2c211aecc2 · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Enhanced deep residual networks for single image super-resolution

Reference 41

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This paper cites Learned image compression with mixed transformer-cnn architectures.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Learned image compression with mixed transformer-cnn architectures

Reference 42

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This paper cites High-fidelity generative image compres- sion.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression High-fidelity generative image compres- sion

Reference 43

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Observation 18b0c50f-33e6-4a84-aca0-3b85b513d8d5 · outbound

This paper cites Channel-wise autoregres- sive entropy models for learned image compression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Channel-wise autoregres- sive entropy models for learned image compression

Reference 44

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This paper cites Joint autoregressive and hierarchical priors for learned im- age compression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Joint autoregressive and hierarchical priors for learned im- age compression

Reference 45

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Observation e7afacf1-bbee-46b1-a2f9-b008444c0b92 · outbound

This paper cites Improving statistical fi- delity for neural image compression with implicit local like- lihood models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Improving statistical fi- delity for neural image compression with implicit local like- lihood models

Reference 46

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Observation e8f4a8dc-b178-4488-a694-92624e76cbe9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression DINOv2: Learning Robust Visual Features without Supervision

Reference 47

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This paper cites One-Step Image Translation with Text-to-Image Models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression One-Step Image Translation with Text-to-Image Models

Reference 48

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Observation ca719540-cbe6-4f3b-a1ba-775fa314c8d9 · outbound

This paper cites Entroformer: A Transformer-based Entropy Model for Learned Image Compression.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Entroformer: A Transformer-based Entropy Model for Learned Image Compression

Reference 49

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Observation c8b47c5e-cf25-4fb0-ae6d-9f14046a0150 · outbound

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

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Learning transferable visual models from natural language supervi- sion

Reference 50

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Observation fd08dfff-7670-4e52-9e21-054f688343d9 · outbound

This paper cites Lossy image compression with foundation diffusion models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Lossy image compression with foundation diffusion models

Reference 51

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Observation d25dbe75-0afc-4b6f-a304-5f6ba6842a1d · outbound

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression High-resolution image synthesis with latent diffusion models

Reference 52

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Progressive Distillation for Fast Sampling of Diffusion Models

Reference 53

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Adversarial diffusion distillation

Reference 54

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This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Deep unsupervised learning using nonequilibrium thermodynamics

Reference 55

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Denoising Diffusion Implicit Models

Reference 56

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This paper cites Consistency Models.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Consistency Models

Reference 57

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Observation 5cb43ba9-943a-4010-b046-ec88bf5f8c2b · outbound

This paper cites Overview of the high efficiency video coding (hevc) standard.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Overview of the high efficiency video coding (hevc) standard

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:18.397587Z

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Observation fd521162-9fad-4df4-83e2-4b2d3fd96e7e · outbound

This paper cites Lossy Compression with Gaussian Diffusion.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Lossy Compression with Gaussian Diffusion

Reference 59

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Clic 2020: Challenge on learned image compression, 2020, 2020

Reference 60

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Observation 3d5e943f-bd16-465f-ba01-2d61ef44f40d · outbound

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Neural discrete representation learning

Reference 61

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression The jpeg still picture compression stan- dard

Reference 62

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Exploiting diffusion prior for real-world image super-resolution

Reference 63

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Mul- tiscale structural similarity for image quality assessment

Reference 64

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Observation 4c741c7c-6aa9-43ff-ac48-947b8fbccfa4 · outbound

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Idempotence and Perceptual Image Compression

Reference 65

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Observation 5a9226ad-27f9-4891-9f78-0f814d0239c4 · outbound

This paper cites On perceptual lossy compression: The cost of percep- tual reconstruction and an optimal training framework.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression On perceptual lossy compression: The cost of percep- tual reconstruction and an optimal training framework

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:17.777693Z

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Optimally Controllable Perceptual Lossy Compression

Reference 67

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Lossy image compression with conditional diffusion models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:17.573091Z

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This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 69

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression MambaOut: Do We Really Need Mamba for Vision?

Reference 70

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Observation d29f47a7-cdd8-4e69-96f6-03ec4cd0ce49 · outbound

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression Inceptionnext: When inception meets convnext

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:17.385575Z

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Observation f34a938f-be4f-4fec-aad8-defb01ef0915 · outbound

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

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 72

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Observation d749bdae-16e6-4dfe-8441-290be0d64c5b · outbound

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StableCodec: Taming One-Step Diffusion for Extreme Image Compression The unreasonable effectiveness of deep features as a perceptual metric

Reference 73

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Observation ca92cfe1-e6d3-4db5-b005-cecbff775e0e · outbound

This paper cites Sta- bleCodec - EAux.

StableCodec: Taming One-Step Diffusion for Extreme Image Compression Sta- bleCodec - EAux

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:17.131608Z

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Pith citing papers

Observation 1a75a1d4-4f73-4651-aaf9-50df22dca866 · inbound

Benchmarking and Enhancing VLM for Compressed Image Understanding cites this paper.

Benchmarking and Enhancing VLM for Compressed Image Understanding StableCodec: Taming One-Step Diffusion for Extreme Image Compression

Reference 18

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Observation b6877399-a8e7-454a-81f8-04a9d8df37b2 · inbound

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors cites this paper.

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors StableCodec: Taming One-Step Diffusion for Extreme Image Compression

Reference 94

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Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression cites this paper.

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression StableCodec: Taming One-Step Diffusion for Extreme Image Compression

Reference 71

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Observation 23a99c4a-1cb4-48a8-97de-cd595b08ed09 · inbound

Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression cites this paper.

Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression StableCodec: Taming One-Step Diffusion for Extreme Image Compression

Reference 12

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