Paper Citation Record · LEDGER

Learning Switchable Priors for Neural Image Compression

As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2504.16586.

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pith.paper-citation-record.v1
2504.16586 v1

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measured 51 of 51 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation 7f8fb8dd-4aa6-4a12-a6db-9ba0f072da96 · outbound

This paper cites Theoretical foundations of transform coding,.

Learning Switchable Priors for Neural Image Compression Theoretical foundations of transform coding,

Reference 1

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Observation 099d629c-8e9c-4226-9033-2fa7c88cdd87 · outbound

This paper cites The JPEG still picture compression standard,.

Learning Switchable Priors for Neural Image Compression The JPEG still picture compression standard,

Reference 2

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Observation cf41c0e0-c44c-46b1-8b6b-42809622206e · outbound

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

Learning Switchable Priors for Neural Image Compression Overview of the versatile video coding (VVC) standard and its applications,

Reference 3

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Observation fb15edb2-71fa-41ff-85d9-9737c9f47e38 · outbound

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

Learning Switchable Priors for Neural Image Compression End-to-end Optimized Image Compression

Reference 4

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Observation 86b89bbb-2ac2-4e6e-bf6a-c3715535d74c · outbound

This paper cites Channel-wise autoregressive entropy models for learned image compression,.

Learning Switchable Priors for Neural Image Compression Channel-wise autoregressive entropy models for learned image compression,

Reference 5

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Observation 119b53b7-4976-4148-b6e9-f01df066d433 · outbound

This paper cites ELIC: Efficient learned image compression with unevenly grouped space-channel con- textual adaptive coding,.

Learning Switchable Priors for Neural Image Compression ELIC: Efficient learned image compression with unevenly grouped space-channel con- textual adaptive coding,

Reference 6

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Observation 7f5a2302-b557-485d-bfad-8bd1e66fba02 · outbound

This paper cites M2T: Masking Transform- ers twice for faster decoding,.

Learning Switchable Priors for Neural Image Compression M2T: Masking Transform- ers twice for faster decoding,

Reference 7

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Observation 98cb264e-7570-4acf-9722-e848b74a8d6f · outbound

This paper cites Flexible coding order for learned image compression,.

Learning Switchable Priors for Neural Image Compression Flexible coding order for learned image compression,

Reference 8

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Observation e281d386-19fc-4a1c-a26d-83503bc5f851 · outbound

This paper cites Learned image compression with Gaussian- Laplacian-Logistic mixture model and concatenated residual modules,.

Learning Switchable Priors for Neural Image Compression Learned image compression with Gaussian- Laplacian-Logistic mixture model and concatenated residual modules,

Reference 9

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Observation 07e640c0-edc2-41fb-9390-727a9b7442d6 · outbound

This paper cites MLIC++: Linear complexity multi-reference entropy modeling for learned image compression,.

Learning Switchable Priors for Neural Image Compression MLIC++: Linear complexity multi-reference entropy modeling for learned image compression,

Reference 10

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Observation 8e5b18c1-cbb0-4cc8-b5ab-eabc633b29d2 · outbound

This paper cites Frequency- aware transformer for learned image compression,.

Learning Switchable Priors for Neural Image Compression Frequency- aware transformer for learned image compression,

Reference 11

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Observation a0686a27-f8db-4756-b87c-f8a115116905 · outbound

This paper cites GroupedMixer: An entropy model with group-wise token-mixers for learned image compression,.

Learning Switchable Priors for Neural Image Compression GroupedMixer: An entropy model with group-wise token-mixers for learned image compression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:06:51.579298Z

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Observation 135d1b7c-0dba-423a-99a1-f2a2a100170c · outbound

This paper cites Causal context adjustment loss for learned image compression,.

Learning Switchable Priors for Neural Image Compression Causal context adjustment loss for learned image compression,

Reference 13

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Observation aa1e1418-79ef-480a-b4b6-3d5e25703693 · outbound

This paper cites End- to-end learning-based image compression with a decoupled framework,.

Learning Switchable Priors for Neural Image Compression End- to-end learning-based image compression with a decoupled framework,

Reference 14

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Observation 1bbdd67e-78de-445f-ac09-566a28dcf719 · outbound

This paper cites Causal contextual prediction for learned image compression,.

Learning Switchable Priors for Neural Image Compression Causal contextual prediction for learned image compression,

Reference 15

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Observation dcd4bc6f-ce44-4d8a-be99-13ff77a743f0 · outbound

This paper cites Multirate progres- sive entropy model for learned image compression,.

Learning Switchable Priors for Neural Image Compression Multirate progres- sive entropy model for learned image compression,

Reference 16

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Observation a918ca9b-6054-434e-b5ea-7ddf5e349b54 · outbound

This paper cites NLIC: Non-uniform quantization-based learned image compression,.

Learning Switchable Priors for Neural Image Compression NLIC: Non-uniform quantization-based learned image compression,

Reference 17

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Observation aae821d2-4132-4935-89c7-d36ffbac98a3 · outbound

This paper cites Efficient contextformer: Spatio-channel window attention for fast context model- ing in learned image compression,.

Learning Switchable Priors for Neural Image Compression Efficient contextformer: Spatio-channel window attention for fast context model- ing in learned image compression,

Reference 18

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Observation 0ae03dbc-fd89-4625-abcd-a74d19464ff7 · outbound

This paper cites Variational image compression with a scale hyperprior.

Learning Switchable Priors for Neural Image Compression Variational image compression with a scale hyperprior

Reference 19

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Observation 7a97bd14-7e15-43fb-b434-4392bc4af501 · outbound

This paper cites Joint autoregressive and hier- archical priors for learned image compression,.

Learning Switchable Priors for Neural Image Compression Joint autoregressive and hier- archical priors for learned image compression,

Reference 20

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Observation 20b2d098-5b9f-4ed7-a235-9fe46fc254ec · outbound

This paper cites Learned image com- pression with discretized Gaussian mixture likelihoods and attention modules,.

Learning Switchable Priors for Neural Image Compression Learned image com- pression with discretized Gaussian mixture likelihoods and attention modules,

Reference 21

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Observation d33b73b6-c1da-41cc-a8e1-be510f0c043a · outbound

This paper cites Generalized Gaussian model for learned image compression,.

Learning Switchable Priors for Neural Image Compression Generalized Gaussian model for learned image compression,

Reference 22

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Observation b1f5e0e9-0e69-4261-b326-a42b813cfebd · outbound

This paper cites An introduction to arithmetic coding,.

Learning Switchable Priors for Neural Image Compression An introduction to arithmetic coding,

Reference 23

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Observation 56ad8799-fa3f-4300-82cc-c2cc7b221722 · outbound

This paper cites Asymmetric numeral systems: entropy coding combining speed of Huffman coding with compression rate of arithmetic coding.

Learning Switchable Priors for Neural Image Compression Asymmetric numeral systems: entropy coding combining speed of Huffman coding with compression rate of arithmetic coding

Reference 24

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Observation ddc7c1b1-18ff-4b80-aa65-9d94f2975cbc · outbound

This paper cites Integer networks for data compression with latent-variable models,.

Learning Switchable Priors for Neural Image Compression Integer networks for data compression with latent-variable models,

Reference 25

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Observation 36e5c586-5641-4d7b-a6fd-52a5c8a127c2 · outbound

This paper cites Computationally-efficient neural image com- pression with shallow decoders,.

Learning Switchable Priors for Neural Image Compression Computationally-efficient neural image com- pression with shallow decoders,

Reference 26

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Observation 2cea97cc-660e-4af8-811d-8b11d4a205e8 · outbound

This paper cites Learned image compression with mixed Transformer-CNN architectures,.

Learning Switchable Priors for Neural Image Compression Learned image compression with mixed Transformer-CNN architectures,

Reference 27

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Observation fdf5e443-e896-4c8c-aafd-ec53f51ce079 · outbound

This paper cites Neural video compression with feature modulation,.

Learning Switchable Priors for Neural Image Compression Neural video compression with feature modulation,

Reference 28

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This paper cites End-to-end optimized versatile image compression with wavelet-like transform,.

Learning Switchable Priors for Neural Image Compression End-to-end optimized versatile image compression with wavelet-like transform,

Reference 29

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This paper cites Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding.

Learning Switchable Priors for Neural Image Compression Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding

Reference 30

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Observation 9f04e670-5b18-44a7-af4b-c9c6306c688e · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Learning Switchable Priors for Neural Image Compression Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 31

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Observation f347f1ff-1a85-40c4-b167-7b013c1aaea1 · outbound

This paper cites Advancing the rate-distortion-computation frontier for neural image compression,.

Learning Switchable Priors for Neural Image Compression Advancing the rate-distortion-computation frontier for neural image compression,

Reference 32

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Observation ed2dc9ae-a021-4f80-b431-3ce0e462fb31 · outbound

This paper cites Practical learned image compression with online encoder optimization,.

Learning Switchable Priors for Neural Image Compression Practical learned image compression with online encoder optimization,

Reference 33

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Observation 51323a99-85d3-43b9-bad3-7da0a317175a · outbound

This paper cites Slimmable compressive autoencoders for practical neural image compression,.

Learning Switchable Priors for Neural Image Compression Slimmable compressive autoencoders for practical neural image compression,

Reference 34

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Observation 699e1522-b9ac-4776-a2bf-f622d4c11097 · outbound

This paper cites Memory-efficient learned image compression with pruned hyperprior module,.

Learning Switchable Priors for Neural Image Compression Memory-efficient learned image compression with pruned hyperprior module,

Reference 35

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Observation 0954d7b9-a9c9-4fc5-a913-b70e4437de9a · outbound

This paper cites EVC: Towards real-time neural image compression with mask decay,.

Learning Switchable Priors for Neural Image Compression EVC: Towards real-time neural image compression with mask decay,

Reference 36

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Observation 29b731b2-f4d9-4c37-934f-313f7f8ae3d1 · outbound

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

Learning Switchable Priors for Neural Image Compression Checkerboard context model for efficient learned image compression,

Reference 37

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This paper cites AlphaVC: High-performance and efficient learned video compression,.

Learning Switchable Priors for Neural Image Compression AlphaVC: High-performance and efficient learned video compression,

Reference 38

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Observation a0174caf-878b-4ef9-bfa6-1c9af7b1dfbc · outbound

This paper cites Selective compression learning of latent representations for variable-rate image compression,.

Learning Switchable Priors for Neural Image Compression Selective compression learning of latent representations for variable-rate image compression,

Reference 39

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Observation 92f7b306-1c09-4d6f-a644-b64b8da9e9f4 · outbound

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

Learning Switchable Priors for Neural Image Compression CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 40

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This paper cites Learned image compression with fixed- point arithmetic,.

Learning Switchable Priors for Neural Image Compression Learned image compression with fixed- point arithmetic,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:06:51.319716Z

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Observation 468c1c3d-e306-4574-a49a-02bd96d75e52 · outbound

This paper cites Post-Training Quantization for Cross-Platform Learned Image Compression.

Learning Switchable Priors for Neural Image Compression Post-Training Quantization for Cross-Platform Learned Image Compression

Reference 42

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Learning Switchable Priors for Neural Image Compression Nonlinear transform coding,

Reference 43

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This paper cites Categorical reparameterization with Gumbel-softmax,.

Learning Switchable Priors for Neural Image Compression Categorical reparameterization with Gumbel-softmax,

Reference 44

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Observation 86a55b65-3c29-41bb-8643-1c2cf33aa804 · outbound

This paper cites Run, don’t walk: Chasing higher FLOPS for faster neural networks,.

Learning Switchable Priors for Neural Image Compression Run, don’t walk: Chasing higher FLOPS for faster neural networks,

Reference 45

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Observation f15f5f94-5ad3-4f03-8eb7-1eff7f3ca185 · outbound

This paper cites A Unified End-to-End Framework for Efficient Deep Image Compression.

Learning Switchable Priors for Neural Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 46

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This paper cites Adam: A Method for Stochastic Optimization.

Learning Switchable Priors for Neural Image Compression Adam: A Method for Stochastic Optimization

Reference 47

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This paper cites TESTIMAGES: A large-scale archive for testing visual devices and basic image processing algorithms,.

Learning Switchable Priors for Neural Image Compression TESTIMAGES: A large-scale archive for testing visual devices and basic image processing algorithms,

Reference 48

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This paper cites USTC-TD: A test dataset and benchmark for image and video coding in 2020s,.

Learning Switchable Priors for Neural Image Compression USTC-TD: A test dataset and benchmark for image and video coding in 2020s,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:06:51.259860Z

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This paper cites Calculation of average PSNR differences between RD- curves,.

Learning Switchable Priors for Neural Image Compression Calculation of average PSNR differences between RD- curves,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:06:51.246719Z

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Observation c02ec62d-d5d9-467d-a76d-a7e1628cec68 · outbound

This paper cites On Uniform Scalar Quantization for Learned Image Compression.

Learning Switchable Priors for Neural Image Compression On Uniform Scalar Quantization for Learned Image Compression

Reference 51

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Pith citing papers

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