Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression | Paper Citation Record

Observation afca33ef-57c8-4f27-9acc-0fbe444ae1fb · outbound

This paper cites Optimization of lattices for quantization.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Optimization of lattices for quantization

Reference 1

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This paper cites Closest point search in lattices.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Closest point search in lattices

Reference 2

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Soft-to-hard vector quantization for end-to-end learning compressible representations

Reference 3

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Generative adversarial networks for extreme learned image compression

Reference 4

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This paper cites On lovász’lattice reduction and the nearest lattice point problem.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression On lovász’lattice reduction and the nearest lattice point problem

Reference 5

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This paper cites Simoncelli.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Simoncelli

Reference 6

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This paper cites Variational image compression with a scale hyperprior.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Variational image compression with a scale hyperprior

Reference 7

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This paper cites Workshop and challenge on learned image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Workshop and challenge on learned image compression

Reference 8

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Observation 3911b2e4-c18a-4f75-87a3-5e4f722535c4 · outbound

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 9

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Calculation of average psnr differences between rd-curves

Reference 10

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Towards image compression with perfect realism at ultra-low bitrates

Reference 11

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Learned image compression with discretized gaussian mixture likelihoods and attention modules

Reference 12

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This paper cites Variable rate deep image compression with a conditional autoencoder.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Variable rate deep image compression with a conditional autoencoder

Reference 13

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This paper cites Kodak lossless true color image suite.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Kodak lossless true color image suite

Reference 14

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This paper cites Imagenet: A large- scale hierarchical image database.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Imagenet: A large- scale hierarchical image database

Reference 15

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This paper cites Nvtc: Nonlinear vector transform cod- ing.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Nvtc: Nonlinear vector transform cod- ing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.608444Z

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This paper cites Neural image compression via attentional multi-scale back projection and frequency decompo- sition.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Neural image compression via attentional multi-scale back projection and frequency decompo- sition

Reference 17

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Observation cd024a79-8055-4f87-95a4-ea238c494d2c · outbound

This paper cites Lattice quantization.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Lattice quantization

Reference 18

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding

Reference 19

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Checkerboard context model for efficient learned image compression

Reference 20

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Observation f9ae7b3f-c8d1-4030-8a91-3107e2fe1559 · outbound

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Mlic: Multi-reference entropy model for learned image compression

Reference 21

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks

Reference 22

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Observation e61db032-7d79-4c0d-bf4f-b7c6f632d710 · outbound

This paper cites LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations

Reference 23

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Joint global and local hierarchical priors for learned image compression

Reference 24

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This paper cites Lvq-vae: End-to-end hyperprior-based variational image compression with lattice vector quantization.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Lvq-vae: End-to-end hyperprior-based variational image compression with lattice vector quantization

Reference 25

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This paper cites Context-adaptive entropy model for end-to-end optimized image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Context-adaptive entropy model for end-to-end optimized image compression

Reference 26

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding

Reference 27

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This paper cites Content-oriented learned image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Content-oriented learned image compression

Reference 28

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Learning convolutional networks for content-weighted image compression

Reference 29

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression A spatial rnn codec for end-to-end image compression

Reference 30

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Learned image compression with mixed transformer- cnn architectures

Reference 31

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Observation 22f4162d-9cad-44f3-bd11-b4d0e78d0105 · outbound

This paper cites Conditional probability models for deep image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Conditional probability models for deep image compression

Reference 32

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This paper cites High-fidelity generative image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression High-fidelity generative image compression

Reference 33

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This paper cites The hardness of the closest vector problem with preprocessing.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression The hardness of the closest vector problem with preprocessing

Reference 34

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Joint autoregressive and hierarchical priors for learned image compression

Reference 35

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Observation 7dca3669-bf03-4efe-8676-d9bbc0a14313 · outbound

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Channel-wise autoregressive entropy models for learned image compression

Reference 36

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This paper cites Content adaptive latents and decoder for neural image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Content adaptive latents and decoder for neural image compression

Reference 37

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This paper cites Real-Time Adaptive Image Compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Real-Time Adaptive Image Compression

Reference 38

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This paper cites Arithmetic coding.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Arithmetic coding

Reference 39

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This paper cites Multiple description lattice vector quantization.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Multiple description lattice vector quantization

Reference 40

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Observation fd00c39d-8d2d-48db-8d5b-ab04edc10672 · outbound

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Expanded adaptive scaling normalization for end to end image compression

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.399406Z

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Observation 247d481a-ad81-4b58-b1c4-7d3544b2b6e8 · outbound

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression EVC: Towards Real-Time Neural Image Compression with Mask Decay

Reference 42

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This paper cites Arithmetic coding for data compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Arithmetic coding for data compression

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.389053Z

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Observation 300311c8-ab60-4f0f-9dde-4aade3683f7c · outbound

This paper cites Slimmable compressive au- toencoders for practical neural image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Slimmable compressive au- toencoders for practical neural image compression

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.379011Z

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Observation 09f44231-7be5-4166-8aef-841cdc8d6abc · outbound

This paper cites Lossy image compression with conditional diffusion models.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Lossy image compression with conditional diffusion models

Reference 45

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Observation 824534b6-d7d3-45c7-b234-5d787a1e739f · outbound

This paper cites Attention-guided image compression by deep reconstruction of compressive sensed saliency skeleton.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Attention-guided image compression by deep reconstruction of compressive sensed saliency skeleton

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.357463Z

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Observation 3b851a69-5039-4524-a62d-d58d02a1cddb · outbound

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Multi-modality deep restoration of extremely compressed face videos

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.347222Z

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Observation 53e0905f-01a9-469f-a641-58a6041e766b · outbound

This paper cites Lvqac: Lattice vector quantization coupled with spatially adap- tive companding for efficient learned image compression.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Lvqac: Lattice vector quantization coupled with spatially adap- tive companding for efficient learned image compression

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.336523Z

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Observation 1d450bef-c08c-4349-a124-81b0d5f9535c · outbound

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unified multivariate gaussian mixture for efficient neural image compression

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.325278Z

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This paper cites Transformer-based transform coding.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Transformer-based transform coding

Reference 50

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Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 51

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Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 52

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Observation cfa874ea-184e-4c0b-bdd3-40feddb67ac3 · outbound

This paper cites ,round(cn)).

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression ,round(cn))

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.282874Z

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Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 54

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This paper cites an unresolved cited work.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 55

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Observation 522e4cb1-1c3b-4cf0-b911-a9c0560a7893 · outbound

This paper cites an unresolved cited work.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 56

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Observation 87e65365-628a-4f4c-a55a-bedd63b67653 · outbound

This paper cites an unresolved cited work.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 57

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Observation e101afc1-378a-4cdd-99f4-51a832c375ee · outbound

This paper cites an unresolved cited work.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 58

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ad01374-4aa2-4456-a47d-3054cbb52183 · outbound

This paper cites an unresolved cited work.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 59

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1d64bda-0f34-4a7f-9e5e-307eba668a62 · outbound

This paper cites an unresolved cited work.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Unresolved cited work

Reference 60

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 509ce877-0de9-4309-9f26-777432e7242b · outbound

This paper cites Since v and t′ differ only by the orthogonalization process, the distance bound remains valid.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Since v and t′ differ only by the orthogonalization process, the distance bound remains valid

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.193763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a2014b5-77be-4d6d-89d4-61f84cb8083d · outbound

This paper cites A.5 Broader Impact The proposed Optimal Lattice Vector Quantization (LVQ) method for image compression offers several significant and wide-reaching benefits.

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression A.5 Broader Impact The proposed Optimal Lattice Vector Quantization (LVQ) method for image compression offers several significant and wide-reaching benefits

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:56.182243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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