UniMIC: Towards Universal Multi-modality Perceptual Image Compression | Paper Citation Record

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This paper cites python.org/3/library/zlib.html.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression python.org/3/library/zlib.html

Reference 1

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This paper cites Multimodal biomedical ai.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Multimodal biomedical ai

Reference 2

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 3

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This paper cites Generative adversarial networks for extreme learned image compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Generative adversarial networks for extreme learned image compression

Reference 4

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This paper cites Spatext: Spatio-textual representation for con- trollable image generation.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Spatext: Spatio-textual representation for con- trollable image generation

Reference 5

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This paper cites Variational image compression with a scale hyperprior.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Variational image compression with a scale hyperprior

Reference 6

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This paper cites CompressAI: a PyTorch library and evaluation platform for end-to-end compression research.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 7

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This paper cites Better portable graphics (bpg) image format.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Better portable graphics (bpg) image format

Reference 8

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This paper cites Improving image generation with better captions.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Improving image generation with better captions

Reference 9

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Observation 5121fd70-a9c2-4c72-b18b-4d11910c344d · outbound

This paper cites The perception-distortion tradeoff.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression The perception-distortion tradeoff

Reference 10

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Observation 9b43fd1d-418f-4b02-8749-8bdf3a67aa9b · outbound

This paper cites Rethinking lossy compres- sion: The rate-distortion-perception tradeoff.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Rethinking lossy compres- sion: The rate-distortion-perception tradeoff

Reference 11

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This paper cites In- structpix2pix: Learning to follow image editing instructions.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression In- structpix2pix: Learning to follow image editing instructions

Reference 12

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Overview of the versatile video coding (vvc) standard and its applications

Reference 13

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Towards image compression with per- fect realism at ultra-low bitrates

Reference 14

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This paper cites Thousand to one: Semantic prior modeling for conceptual coding.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Thousand to one: Semantic prior modeling for conceptual coding

Reference 15

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Learned image compression with discretized gaussian mixture likelihoods and attention modules

Reference 16

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Observation 38f1a579-f840-48f0-8ab5-f0b3e104c75c · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Taming transformers for high-resolution image synthesis

Reference 17

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Observation 33f7e817-142e-4b57-a4f8-1a1a56816b77 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 18

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This paper cites Semantically structured image compression via irregu- lar group-based decoupling.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Semantically structured image compression via irregu- lar group-based decoupling

Reference 19

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This paper cites Nvtc: Nonlinear vector transform coding.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Nvtc: Nonlinear vector transform coding

Reference 20

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This paper cites Rate-distortion optimization for cross modal com- pression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Rate-distortion optimization for cross modal com- pression

Reference 21

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This paper cites A Residual Diffusion Model for High Perceptual Quality Codec Augmentation.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 22

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Observation d3669b34-b3a9-4a4e-99d0-f443d6efe431 · outbound

This paper cites Generative adversarial nets.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Generative adversarial nets

Reference 23

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Observation 45442bbf-a07e-4331-afe8-2658bf50dfe9 · outbound

This paper cites Theoretical foundations of transform coding.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Theoretical foundations of transform coding

Reference 24

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Observation 04c84504-28e8-49df-85be-eda22c361e75 · outbound

This paper cites Causal contextual prediction for learned image compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Causal contextual prediction for learned image compression

Reference 25

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This paper cites Soft then hard: Rethinking the quantization in neural image compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Soft then hard: Rethinking the quantization in neural image compression

Reference 26

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Observation e724fd50-8e2d-4bee-9608-8f699e8da2db · outbound

This paper cites Minimal random code learning: Getting bits back from compressed model parameters.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Minimal random code learning: Getting bits back from compressed model parameters

Reference 27

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This paper cites Elic: Efficient learned image com- pression with unevenly grouped space-channel contextual adaptive coding.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Elic: Efficient learned image com- pression with unevenly grouped space-channel contextual adaptive coding

Reference 28

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Observation b825709d-2b6b-4c2d-ac5a-2af5028b72e4 · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 29

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This paper cites Classifier-free diffusion guidance.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Classifier-free diffusion guidance

Reference 30

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This paper cites Denoising diffu- sion probabilistic models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Denoising diffu- sion probabilistic models

Reference 31

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression High-Fidelity Image Compression with Score-based Generative Models

Reference 32

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Observation b97b1de7-8df7-4794-a97c-fb1ebf7617da · outbound

This paper cites Multi-modal Sensor Fusion for Auto Driving Perception: A Survey.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Reference 33

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This paper cites Multi-modality deep network for extreme learned im- age compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Multi-modality deep network for extreme learned im- age compression

Reference 34

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Observation 0ba99e9d-0a2e-41d2-83cd-3fa66966eaa9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Adam: A Method for Stochastic Optimization

Reference 35

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Observation 9150e0f6-8903-4310-8f4f-f6ff2fd9a52e · outbound

This paper cites The open im- ages dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression The open im- ages dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 36

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity

Reference 37

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Observation da066dc8-9d14-44c4-bbb4-fcc9fdfc536c · outbound

This paper cites Text + sketch: Image compression at ultra low rates.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Text + sketch: Image compression at ultra low rates

Reference 38

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Observation aedd2b2f-7d38-423d-aede-f3e28d453051 · outbound

This paper cites MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model

Reference 39

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This paper cites Cross modal compression: Towards human- comprehensible semantic compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Cross modal compression: Towards human- comprehensible semantic compression

Reference 40

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This paper cites Task-driven semantic coding via reinforcement learning.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Task-driven semantic coding via reinforcement learning

Reference 41

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This paper cites Diffusion models for image restoration and enhancement–a comprehensive sur- vey.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Diffusion models for image restoration and enhancement–a comprehensive sur- vey

Reference 42

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This paper cites Ucip: A universal framework for compressed image super-resolution using dynamic prompt.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Ucip: A universal framework for compressed image super-resolution using dynamic prompt

Reference 43

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Learned image compression with mixed transformer-cnn architectures

Reference 44

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Observation 755d7078-f8a6-4346-bfc0-d791efaa9395 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 45

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Observation 5c87af18-5d88-4f17-8c09-cc1b45ab8aa2 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 46

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 47

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This paper cites On distillation of guided diffusion models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression On distillation of guided diffusion models

Reference 48

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This paper cites High-Fidelity Generative Image Compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression High-Fidelity Generative Image Compression

Reference 49

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Observation f57e0915-3a4c-45a1-8da6-cbff6812f879 · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Channel-wise autoregres- sive entropy models for learned image compression

Reference 50

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Observation 98ee129c-887e-4366-9034-d7e69c480b1f · outbound

This paper cites Joint autoregressive and hierarchical priors for learned image com- pression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Joint autoregressive and hierarchical priors for learned image com- pression

Reference 51

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Observation fb9a472f-f740-4933-badc-0bfbba853a73 · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 52

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This paper cites Neuralcompres- sion.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Neuralcompres- sion

Reference 53

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Observation e5c42c43-05f6-4d0a-8ac6-36d38a454ab7 · outbound

This paper cites Improving statistical fidelity for neural image compression with implicit local likelihood models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Improving statistical fidelity for neural image compression with implicit local likelihood models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:29.086739Z

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Observation 80d9ad71-65f6-401d-b5d9-6e515640959c · outbound

This paper cites Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 55

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Observation 59f62691-0d29-41e1-9a12-5bf406b89aa8 · outbound

This paper cites Perceptual Image Compression with Cooperative Cross-Modal Side Information.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Perceptual Image Compression with Cooperative Cross-Modal Side Information

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:13:27.200526Z

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Observation 44e8a880-8997-4006-9587-69d083f0e5df · outbound

This paper cites An overview of the jpeg 2000 still image compression standard.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression An overview of the jpeg 2000 still image compression standard

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.996172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d81df0e4-3655-4d8b-b35f-f59572552dce · outbound

This paper cites Moe-diffir: Task- customized diffusion priors for universal compressed image restoration.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Moe-diffir: Task- customized diffusion priors for universal compressed image restoration

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.934172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fe6bb94-fc87-4498-b0bb-6ae917e2bdd2 · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression High-resolution image synthesis with latent diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.902110Z

Source-reported events for the cited work

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Observation ab964374-d937-4919-86dc-1b91ef8892e6 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Progressive Distillation for Fast Sampling of Diffusion Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.301771Z

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Observation 1fe5ffee-2ddc-4e9a-8d95-d36211553cbd · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Deep unsupervised learning using nonequilibrium thermodynamics

Reference 61

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Observation 32bda420-5ed1-44e0-9a47-0f419a02e79f · outbound

This paper cites Denoising diffusion implicit models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Denoising diffusion implicit models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.835434Z

Source-reported events for the cited work

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Observation 28d62ffe-3669-4f3f-a164-55a1d027ae4d · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Score-Based Generative Modeling through Stochastic Differential Equations

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.444154Z

Source-reported events for the cited work

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Observation 2d4ad8ee-265a-43a3-a370-4069507a7e85 · outbound

This paper cites Consistency Models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Consistency Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.507534Z

Source-reported events for the cited work

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Observation 8b3cfde7-3eae-4608-b9ed-cf1af612e49c · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Overview of the high efficiency video coding (hevc) standard

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.752298Z

Source-reported events for the cited work

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Observation 279c09cc-0a47-493c-b401-db7c5a36437d · outbound

This paper cites Semantic structured image coding framework for multiple intelligent applications.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Semantic structured image coding framework for multiple intelligent applications

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.609073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f0b1173-6671-4bc0-a152-8b9f9431ad94 · outbound

This paper cites Algorithms for the communication of samples.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Algorithms for the communication of samples

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.536134Z

Source-reported events for the cited work

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Observation f05e289c-aade-4a7a-9a5e-a7c564da91f4 · outbound

This paper cites Lossy Compression with Gaussian Diffusion.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Lossy Compression with Gaussian Diffusion

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.537000Z

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Observation 814edff2-95cb-4631-bc6a-f18e4b5172c7 · outbound

This paper cites Workshop and challenge on learned image compres- sion (clic2020), 2020.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Workshop and challenge on learned image compres- sion (clic2020), 2020

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.488510Z

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Observation 7dd15b80-3e3c-4e0e-b5b7-866032f21df3 · outbound

This paper cites Multimodal research in vision and language: A review of current and emerging trends.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Multimodal research in vision and language: A review of current and emerging trends

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.545006Z

Source-reported events for the cited work

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Observation e9a85f44-5c3d-4db1-a98b-fe75fd4a264f · outbound

This paper cites The jpeg still picture compression stan- dard.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression The jpeg still picture compression stan- dard

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.389284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 60bc2ac1-fa0f-4a2b-8a8b-6972ac48d2bb · outbound

This paper cites Chan, and Chen Change Loy.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Chan, and Chen Change Loy

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.248391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1ea33d4-6686-4bb4-8bb1-1d0970d42fbc · outbound

This paper cites Cogvlm: Visual expert for pretrained language models, 2023.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Cogvlm: Visual expert for pretrained language models, 2023

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.235813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 707dd02a-ba30-405f-a032-7bc59d076fe7 · outbound

This paper cites Learned block-based hybrid image compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Learned block-based hybrid image compression

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.219890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3979568-48ea-4055-8361-0c7bb1c2141f · outbound

This paper cites Idempotence and perceptual image compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Idempotence and perceptual image compression

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.177256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a45b2888-8455-4f40-a594-07411635d2f7 · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression On perceptual lossy compression: The cost of perceptual reconstruction and an optimal training framework

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:28.084440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94365feb-efe9-4a9e-a182-61c9f8bd5855 · outbound

This paper cites Lossy image compres- sion with conditional diffusion models.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Lossy image compres- sion with conditional diffusion models

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:27.990068Z

Source-reported events for the cited work

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Observation 5c3ec119-d1a3-4bbd-b007-3ee9d550d3ae · outbound

This paper cites Improving inference for neural image compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Improving inference for neural image compression

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:27.900044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3a17977-f9dd-433d-b2d2-f8f85be226b7 · outbound

This paper cites Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.873757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2de55f-0d79-44be-b328-3ecdbcdbd0cd · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Adding conditional control to text-to-image diffusion models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.914813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccec8ea1-db89-481b-8f60-5ef0e2f93f66 · outbound

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

UniMIC: Towards Universal Multi-modality Perceptual Image Compression The unreasonable effectiveness of deep features as a perceptual metric

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.934797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da179623-2141-4e85-bef5-a5316369335c · outbound

This paper cites Transformer-based transform coding.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Transformer-based transform coding

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:27.816447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 392bed9a-6bac-4d42-b2e3-1a57e0620a45 · outbound

This paper cites The devil is in the details: Window-based attention for image compression.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression The devil is in the details: Window-based attention for image compression

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:27.702151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4f847e62-f488-48d5-8140-fe87efe6fceb · outbound

This paper cites Further Experimental Details Implementation Details.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Further Experimental Details Implementation Details

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:27.620402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9b4f4a8-655c-49d2-a34b-46355e6f5f9d · outbound

This paper cites This includes the further experi- mental details, additional experimental results.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression This includes the further experi- mental details, additional experimental results

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:27.640873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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