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HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2512.07192.

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2512.07192 v2

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measured 55 of 55 reference resolution

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measured 0 of 0 inbound itemization

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55 of 55 outbound references displayed

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Outbound references

Observation 47714d85-79a2-4cb1-aa26-7cc945f803dc · outbound

This paper cites Soft-to-hard vector quantization for end-to-end learning compressible representations.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Soft-to-hard vector quantization for end-to-end learning compressible representations

Reference 1

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Observation a0974e86-59d2-4948-a7b4-6eedb4f4a12d · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 2

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Observation f73865bc-0eaa-4ced-9f38-219d3df396e3 · outbound

This paper cites Gen- erative adversarial networks for extreme learned im- age compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Gen- erative adversarial networks for extreme learned im- age compression

Reference 3

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Observation 16802eeb-ac41-4846-864b-8a8d15049298 · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression End-to-end Optimized Image Compression

Reference 4

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Observation 0252e441-1d7d-4434-ad62-c55cde984edc · outbound

This paper cites Variational image compression with a scale hyperprior.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Variational image compression with a scale hyperprior

Reference 5

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Observation 418a1f70-4575-4eb7-8c1d-c6463b5c4875 · outbound

This paper cites A Note on the Inception Score.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression A Note on the Inception Score

Reference 6

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Observation 4f796079-4319-4bec-be3b-db26e8c03855 · outbound

This paper cites BPG image format.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression BPG image format

Reference 7

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Observation d4456ce6-019a-4f9b-874b-0ca9516ca50c · outbound

This paper cites Demystifying MMD GANs.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Demystifying MMD GANs

Reference 8

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Observation a060c168-d9e1-4883-9b63-633afba680a6 · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Overview of the versatile video coding (vvc) standard and its applications

Reference 9

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Observation e7bff736-573d-40fd-aca7-05d44e5a9d71 · outbound

This paper cites Towards image compres- sion with perfect realism at ultra-low bitrates.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Towards image compres- sion with perfect realism at ultra-low bitrates

Reference 10

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Observation 526b8610-eaaa-4287-b5c2-b591d5ecc4fb · outbound

This paper cites Learned image compression with discretized gaussian mixture likelihoods and atten- tion modules.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Learned image compression with discretized gaussian mixture likelihoods and atten- tion modules

Reference 11

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Observation ce6fd7d3-f316-413f-9510-0640a5548704 · outbound

This paper cites Variable rate deep image compression with a condi- tional autoencoder.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Variable rate deep image compression with a condi- tional autoencoder

Reference 12

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Observation d064d3a6-a852-4629-a666-403b7f0a7df6 · outbound

This paper cites Kodak lossless true color image suite.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Kodak lossless true color image suite

Reference 13

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Observation be0db9ba-615f-48c4-947f-ed0df77ec5ec · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Image quality assessment: Unifying structure and texture similarity

Reference 14

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Observation 09f7e8db-4ac5-4913-bd76-015674cfdc57 · outbound

This paper cites Taming transformers for high-resolution image syn- thesis.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Taming transformers for high-resolution image syn- thesis

Reference 15

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Observation 11feafaa-0fd5-432b-8cee-22868516c6f1 · outbound

This paper cites Nvtc: Nonlinear vector transform coding.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Nvtc: Nonlinear vector transform coding

Reference 16

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Observation 6d0fdcfb-6ac4-4394-a8d1-b56abd7e5f2d · outbound

This paper cites Neu- ral image compression via attentional multi-scale back projection and frequency decomposition.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Neu- ral image compression via attentional multi-scale back projection and frequency decomposition

Reference 17

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Observation d8336e18-256f-46f7-a5f6-66a74e434563 · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding

Reference 18

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Observation 6e6b0f96-0665-4c60-8edc-b5ecb01107a8 · outbound

This paper cites Checkerboard context model for efficient learned image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Checkerboard context model for efficient learned image compression

Reference 19

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Observation 82b4e69a-ccbc-4b84-b5c4-9c5672809c28 · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Gans trained by a two time-scale update rule con- verge to a local nash equilibrium

Reference 20

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Observation 02052f21-7008-4cd6-9a5f-334d221216fc · outbound

This paper cites Context-based trit-plane coding for progressive image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Context-based trit-plane coding for progressive image compression

Reference 21

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Observation a054e41d-6d94-4b6e-b629-68be052b914e · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Generative latent coding for ultra-low bitrate image compression

Reference 22

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Observation d440d4e3-1138-4e19-a40e-b963c88e45a4 · outbound

This paper cites Mlic: Multi- reference entropy model for learned image compres- sion.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Mlic: Multi- reference entropy model for learned image compres- sion

Reference 23

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Observation 2856c765-b247-40e3-8971-e59c1e43ec0e · outbound

This paper cites Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks

Reference 24

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Observation ceab3803-f736-4430-9093-28a248366a1f · outbound

This paper cites Joint global and local hierarchical priors for learned image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Joint global and local hierarchical priors for learned image compression

Reference 25

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Observation 271eec58-7d67-4957-8e93-f3b7718b5e42 · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class image clas- sification.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Openimages: A public dataset for large-scale multi-label and multi-class image clas- sification

Reference 26

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Observation cbe6e0e6-e754-47c7-9987-81fb091c78a3 · outbound

This paper cites Context-adaptive Entropy Model for End-to-end Optimized Image Compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Context-adaptive Entropy Model for End-to-end Optimized Image Compression

Reference 27

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Observation 50ea779c-bee6-425b-a182-f06c58189694 · outbound

This paper cites Selective compression learning of latent represen- tations for variable-rate image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Selective compression learning of latent represen- tations for variable-rate image compression

Reference 28

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Observation 619b909a-62d4-4c56-86f6-b9d2f88763d5 · outbound

This paper cites Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding

Reference 29

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Observation 64d34c05-d6d4-4b34-95ce-2f3dc88239e4 · outbound

This paper cites Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation

Reference 30

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Observation a8694cc6-12fe-45cc-91a9-51a659238eb4 · outbound

This paper cites Content-oriented learned image com- pression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Content-oriented learned image com- pression

Reference 31

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Observation 58bca2bb-d6b7-4965-acc6-dc402cbcb6a0 · outbound

This paper cites Learning convolutional networks for content-weighted image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Learning convolutional networks for content-weighted image compression

Reference 32

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Observation bd43f80c-c6be-4dd6-b463-e1420daf0b89 · outbound

This paper cites A spatial rnn codec for end-to-end im- age compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression A spatial rnn codec for end-to-end im- age compression

Reference 33

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Observation c9c523ca-eb26-41f3-803f-1e029620ab2f · outbound

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

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Learned image compression with mixed transformer-cnn ar- chitectures

Reference 34

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Observation 5c41378d-0676-4328-ac73-e3db9de443cb · outbound

This paper cites Conditional probability models for deep image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Conditional probability models for deep image compression

Reference 35

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Observation b515aec4-4d7d-41a3-956d-69c5808aa641 · outbound

This paper cites High-fidelity generative image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression High-fidelity generative image compression

Reference 36

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Observation 506bd5b2-06d9-46d1-bc38-ae6060e357f5 · outbound

This paper cites Joint autoregressive and hierarchical priors for learned image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Joint autoregressive and hierarchical priors for learned image compression

Reference 37

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Observation 55a9903b-0b6c-4053-b5c6-b4d2113eeb15 · outbound

This paper cites Channel-wise au- toregressive entropy models for learned image com- pression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Channel-wise au- toregressive entropy models for learned image com- pression

Reference 38

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Observation 9cb9d527-383f-4474-aa19-db657cccc7a0 · outbound

This paper cites completely blind.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression completely blind

Reference 39

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Observation 11b7f928-8da8-4485-8d2c-45e1670ba881 · outbound

This paper cites Content adaptive latents and decoder for neural im- age compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Content adaptive latents and decoder for neural im- age compression

Reference 40

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Observation 1a783333-0ff8-43e6-9faf-4d6b33243733 · outbound

This paper cites Real-time adap- tive image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Real-time adap- tive image compression

Reference 41

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Observation 2220a243-155b-47ce-ad8b-20f5791ca61d · outbound

This paper cites Coding theorems for a dis- crete source with a fidelity criterion.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Coding theorems for a dis- crete source with a fidelity criterion

Reference 42

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Observation ef5962fd-f8a5-4362-8210-3b1be3141e39 · outbound

This paper cites Expanded adaptive scaling normalization for end to end image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Expanded adaptive scaling normalization for end to end image compression

Reference 43

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Observation 7294052e-5285-4280-ab7d-aa34b5df8430 · outbound

This paper cites Clic 2020: Chal- lenge on learned image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Clic 2020: Chal- lenge on learned image compression

Reference 44

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Observation d9f9ef67-712a-40f9-9dd4-c188fdef7c08 · outbound

This paper cites EVC: Towards Real-Time Neural Image Compression with Mask Decay.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression EVC: Towards Real-Time Neural Image Compression with Mask Decay

Reference 45

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Observation bc104e92-3af5-4bd3-9a13-30769c2650ea · outbound

This paper cites Slimmable compressive autoen- coders for practical neural image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Slimmable compressive autoen- coders for practical neural image compression

Reference 46

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Observation 61dd5fe9-7aab-4ecf-8c33-8d2d0f5bf843 · outbound

This paper cites Lossy image compression with conditional diffusion models.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Lossy image compression with conditional diffusion models

Reference 47

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Observation d0ae8e45-9f28-4d9b-9650-e255930417cc · outbound

This paper cites The unreasonable ef- fectiveness of deep features as a perceptual metric.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression The unreasonable ef- fectiveness of deep features as a perceptual metric

Reference 48

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Observation 064e7809-fcb5-486d-8e53-7c668964238d · outbound

This paper cites Attention-guided im- age compression by deep reconstruction of compres- sive sensed saliency skeleton.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Attention-guided im- age compression by deep reconstruction of compres- sive sensed saliency skeleton

Reference 49

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Observation 7dd0a3d1-1ceb-4a6d-8f30-7ca27fa2e3bb · outbound

This paper cites Multi-modality deep restoration of extremely compressed face videos.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Multi-modality deep restoration of extremely compressed face videos

Reference 50

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Observation 5888cc2d-3152-456f-aea3-a7629493a91a · outbound

This paper cites Lvqac: Lattice vector quantization coupled with spatially adaptive com- panding for efficient learned image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Lvqac: Lattice vector quantization coupled with spatially adaptive com- panding for efficient learned image compression

Reference 51

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Observation d9d5affe-2c24-41b0-90a2-7aef407aee54 · outbound

This paper cites Learning optimal lattice vector quantizers for end-to-end neural image com- pression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Learning optimal lattice vector quantizers for end-to-end neural image com- pression

Reference 52

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source=pdf_text observed=2026-08-03T18:03:52.006095Z digest=sha256:1a3fa7cb460a1a7e04c8b30b0afe92c5046a000c535b2b8a0df14827a0aa1114

Observation 2fbc9c8e-aad1-4d4b-8dd8-dd7fac1839bc · outbound

This paper cites Unified multivariate gaussian mixture for efficient neural image compression.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Unified multivariate gaussian mixture for efficient neural image compression

Reference 53

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source=pdf_text observed=2026-08-03T18:03:52.055119Z digest=sha256:f39abce7bf86853acaf9fb0cdbbcb915d1cf4cf05e294c49fd310e905294e626

Observation f084f4d5-4696-4a03-8c8d-dd88bdfda78e · outbound

This paper cites Transformer-based transform coding.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Transformer-based transform coding

Reference 54

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source=pdf_text observed=2026-08-03T18:03:52.103596Z digest=sha256:c5b40fd8a356d60bd21f8ac17e6654433cb7430203e48a881796f2258c64cc1c

Observation 2f9ff00f-94d9-4663-97ab-1ee954f220f0 · outbound

This paper cites an unresolved cited work.

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression Unresolved cited work

Reference 1993

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Pith citing papers

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