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Autoregressive Image Generation using Residual Quantization

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 189× · AI/ML
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scholarly article[2]

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Authored by 5
Chiheon Kim, Doyup Lee, Minsu Cho, Saehoon Kim, Wook-Shin Han
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Chiheon Kim, Doyup Lee, Minsu Cho, Saehoon Kim, Wook-Shin Han
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Summary

Autoregressive Image Generation using Residual Quantization is a scholarly article[1].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Autoregressive Image Generation using Residual Quantization. Retrieved May 24, 2026, from https://4ort.xyz/entity/autoregressive-image-generation-using-residual-quantization
MLA “Autoregressive Image Generation using Residual Quantization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/autoregressive-image-generation-using-residual-quantization.
BibTeX @misc{4ortxyz_autoregressive-image-generation-using-residual-quantization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Autoregressive Image Generation using Residual Quantization}}, year = {2026}, url = {https://4ort.xyz/entity/autoregressive-image-generation-using-residual-quantization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Autoregressive Image Generation using Residual Quantization — https://4ort.xyz/entity/autoregressive-image-generation-using-residual-quantization (retrieved 2026-05-24)

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