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AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 66× · AI/ML
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AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation

Summary

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation is a scholarly article[1].

Key Facts

  • AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  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). AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. Retrieved May 24, 2026, from https://4ort.xyz/entity/amt-all-pairs-multi-field-transforms-for-efficient-frame-interpolation
MLA “AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/amt-all-pairs-multi-field-transforms-for-efficient-frame-interpolation.
BibTeX @misc{4ortxyz_amt-all-pairs-multi-field-transforms-for-efficient-frame-interpolation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation}}, year = {2026}, url = {https://4ort.xyz/entity/amt-all-pairs-multi-field-transforms-for-efficient-frame-interpolation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation — https://4ort.xyz/entity/amt-all-pairs-multi-field-transforms-for-efficient-frame-interpolation (retrieved 2026-05-24)

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