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Advances in Artificial Intelligence: A Review for the Creative Industries

Artificial intelligence (AI) has undergone transformative advances since 2022, particularly through generative AI, large language models (LLMs), and diffusion models, fundamentally reshaping the creative industries. However, existing reviews have not comprehensively addressed these recent breakthroughs and their integrated impact across the creative production pipeline. This paper addresses this gap by providing a s…

Licence: OPEN CC-BY-4.0
Authors: Nantheera Anantrasirichai, Fan Zhang, David Bull
Published: 2025-01-06 · arXiv
Language: en
Length: 42227 words
Type: narrative text

Cites 155 works

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Z. Liu, H. Hu, Y. Lin, Z. Yao, Z. Xie, Y. Wei, J. Ning, Y. Cao, Z. Zhang, L. Dong, F. Wei, and B. Guo Swin transformer v2: scaling up capacity and resolution. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vol. , pp. 11999–12009. External Links: Document Cited by: §2.1, Table 1.
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo Swin Transformer: Hierarchical vision transformer using shifted windows. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Cited by: §2.1, Table 1, §3.3.4, §3.4.2.
D. Lu, S. Wang, N. Kumari, R. Agarwal, M. Tang, D. Bau, and J. Zhu Content-based search for deep generative models. In SIGGRAPH Asia 2023 Conference Papers, External Links: Document Cited by: Table 1, §3.2.3.
G. Lu, W. Ouyang, D. Xu, X. Zhang, C. Cai, and Z. Gao DVC: an end-to-end deep video compression framework. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 11006–11015. Cited by: §3.6.2.
Z. Lu, J. Li, H. Liu, C. Huang, L. Zhang, and T. Zeng Transformer for single image super-resolution. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 457–466. Cited by: Table 1, §3.3.3.
R. Luo, Z. Song, L. Ma, J. Wei, W. Yang, and M. Yang DiffusionTrack: Diffusion model for multi-object tracking. Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), pp. 3991–3999. Note: https://ojs.aaai.org/index.php/AAAI/article/view/28192 External Links: Document Cited by: Table 1, §3.4.3.
J. Ma, L. Tang, F. Fan, J. Huang, X. Mei, and Y. Ma SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer. IEEE/CAA Journal of Automatica Sinica 9 (7), pp. 1200–1217. External Links: Document Cited by: Table 1, §3.3.6.
P. C. Madhusudana, N. Birkbeck, Y. Wang, B. Adsumilli, and A. C. Bovik Image quality assessment using contrastive learning. IEEE Transactions on Image Processing 31, pp. 4149–4161. Cited by: §3.7.1, §3.7.1.
P. C. Madhusudana, N. Birkbeck, Y. Wang, B. Adsumilli, and A. C. Bovik Conviqt: contrastive video quality estimator. IEEE Transactions on Image Processing. Cited by: §3.7.1.
P. C. Madhusudana, X. Yu, N. Birkbeck, Y. Wang, B. Adsumilli, and A. C. Bovik Subjective and objective quality assessment of high frame rate videos. IEEE Access 9, pp. 108069–108082. Cited by: §3.7.1.
R. Mao, Q. Liu, K. He, W. Li, and E. Cambria The biases of pre-trained language models: an empirical study on prompt-based sentiment analysis and emotion detection. IEEE Transactions on Affective Computing 14 (3), pp. 1743–1753. External Links: Document Cited by: Table 1, §3.2.2.
Z. Mao, A. Jaiswal, Z. Wang, and S. H. Chan Single frame atmospheric turbulence mitigation: a benchmark study and a new physics-inspired transformer model. In European Conference on Computer Vision (ECCV), Cited by: Table 1.
C. Mayer, M. Danelljan, G. Bhat, M. Paul, D. P. Paudel,

Metadata record

One description, two standard projections

Built from what the sources declared and what the gates observed. Nothing absent has been filled in here. 1 value read out of the text by the enrichment rules and 155 links to or from other resources — a lab's files, the pages it links, the works it cites stand under their elements, marked inferred, and are kept apart in the exports.

Valid

Profile: aimpro-oer-profile/1 built 2026-10-09
Content language: en declared English

Export Dublin Core LOM Internal record

Show empty elements

DCMI Metadata Terms. Dublin Core has no element that separates the original file from the text extracted out of it, and none for LOM's educational characterisation. Both survive here as provenance statements and in the record itself, not in the projection. the standard ↗

The groups below are this library's, for reading. DCMI Terms itself has no categories; each term keeps its standard name.

Identity 3/3

Identifier dcterms:identifier this engine resource_id source 2 assertions: tag:aim-pro.eu,2026:oer/94988a1ebfff
https://arxiv.org/abs/2501.02725
arxiv:2501.02725
doi:10.1007/s10462-026-11494-w

This engine's id, the source URI, and any persistent identifier the source published.
Title dcterms:title source resource/title: Advances in Artificial Intelligence: A Review for the Creative Industries

The title of this resource, not of the record or repository it came from.
Type dcterms:type source resource: dcmitype:Text
preprint

A DCMI Type term for the form held, plus the source's own genre label as declared.

Responsibility 1/3

Creator dcterms:creator

source 3 assertions

Nantheera Anantrasirichai
Fan Zhang
David Bull

Only agents the source named as creators. A repository owner is not made an author by default.

Contributor dcterms:contributor

source 3 assertions

none found — the source did not declare it

Everyone else named, with the role as declared and the scope they were declared at.

Publisher dcterms:publisher

none found — the source did not declare it

Only when the source names a publisher of the work. The platform it was collected from is recorded as provenance instead.

Content 3/5

Description dcterms:description

source resource/summary

Artificial intelligence (AI) has undergone transformative advances since 2022, particularly through generative AI, large language models (LLMs), and diffusion models, fundamentally reshaping the creative industries. However, existing reviews have not comprehensively addressed these recent breakthroughs and their integrated impact across the creative production pipeline. This paper addresses this gap by providing a systematic review of AI technologies that have emerged or matured since our 2022 review, examining their applications across content creation, information analysis, post-production enhancement, compression, and quality assessment. We document how transformers, LLMs, diffusion models, and implicit neural representations have established new capabilities in text-to-image/video generation, real-time 3D reconstruction, and unified multi-task frameworks-shifting AI from support tool to core creative technology. Beyond technological advances, we analyze the trend toward unified AI frameworks that integrate multiple creative tasks, replacing task-specific solutions. We critically examine the evolving role of human-AI collaboration, where human oversight remains essential for creative direction and mitigating AI hallucinations. Finally, we identify emerging challenges including copyright concerns, bias mitigation, computational demands, and the need for robust regulatory frameworks. This review provides researchers and practitioners with a comprehensive understanding of current AI capabilities, limitations, and future trajectories in creative applications.

The abstract, and the depositor's additional notes after it when the source has a field for them.

Subject dcterms:subject

source resource/categories/0

cs.AI (arxiv)

Declared keywords and taxonomy terms, each carrying its scheme.

Language dcterms:language

language gate read the declared field

The language of the content as the language gate read it.

Audience dcterms:audience

mapped learning_resource_type/preprint

none found — the source did not declare it

Imported when the source declares an intended audience. Never inferred.

Education level dcterms:educationLevel

mapped learning_resource_type/preprint

none found — the source did not declare it

Imported when the source declares an educational context.

Rights 3/4

Licence dcterms:license

licence gate arXiv:arXiv/arXiv:license

http://creativecommons.org/licenses/by/4.0/

The licence document, as a URI where the gate resolved one.

Rights dcterms:rights

licence gate arXiv:arXiv/arXiv:license

CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive

The verdict and the conditions, in words.

Rights holder dcterms:rightsHolder

none found — the source did not declare it

Only when named at source.

Access rights dcterms:accessRights

source resource

open

The access condition the source declared. Not the licence.

Form and dates 4/10

Format dcterms:format

conversion latexml-html

text/markdown

One value per form held — the original and the extracted text.

Extent dcterms:extent

conversion latexml-html

263843 bytes (extracted text)

Sizes in bytes, each saying which form it measures.

Issued dcterms:issued

source resource

2025-01-06

When the resource was published. Not when it was collected.

Modified dcterms:modified

source resource

2026-01-23

When the source's own record was last changed.

Created dcterms:created

source resource

none found — the source did not declare it

Accepted dcterms:dateAccepted

source resource

none found — the source did not declare it

When a publisher accepted the work, where the source records it.

Submitted dcterms:dateSubmitted

source resource

none found — the source did not declare it

When the work was submitted, where the source records it.

Available dcterms:available

source resource

none found — the source did not declare it

Valid dcterms:valid

source resource

none found — the source did not declare it

Bibliographic citation dcterms:bibliographicCitation

none found — the source did not declare it

Where the work was published, in the source's own words: a journal with its volume and pages, a conference, an imprint.

Relations and custody 1/9

Is part of dcterms:isPartOf

none found — the source did not declare it

The repository, book or record this resource was found inside.

Has part dcterms:hasPart

none found — the source did not declare it

What this resource is made of, when the source lists its parts.

Is version of dcterms:isVersionOf

none found — the source did not declare it

Has version dcterms:hasVersion

none found — the source did not declare it

References dcterms:references

inferred read its reference list, line 522 citation

doi:10.30574/ijsra.2025.14.1.0061
doi:10.1016/j.eswa.2024.125952
doi:10.1007/s10462-021-10039-7
arXiv:2402.01970
doi:10.1016/j.patrec.2023.05.017
arXiv:2412.17532
arXiv:2312.02218
arXiv:2204.05862
doi:10.1109/cvpr52688.2022.00539
doi:10.1109/cvprw59228.2023.00164
arXiv:2004.10934
arXiv:2108.07258
and 143 more, every one of them in the export

Works this one cites, when the source declares them as relations. What its text links to and its reference list cites is inferred, and stands under it apart.

Is referenced by dcterms:isReferencedBy

none found — the source did not declare it

What links to or cites this one, when a source declares it; inferred from the texts held otherwise, and set apart.

Requires dcterms:requires

none found — the source did not declare it

What this resource needs in order to be used, when a source declares it. The files a lab works on are inferred, and stand under it apart.

Is required by dcterms:isRequiredBy

none found — the source did not declare it

What needs this resource, when a source declares it. The lab a component belongs to is inferred, and stands under it apart.

Provenance dcterms:provenance

this engine source
conversion latexml-html

Retrieved from arXiv on 2026-10-09 in response to the search string “(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI concepts" OR all:"types of AI" OR all:"AI fundamentals" OR all:"recognizing AI" OR all:"recognising AI" OR all:"general versus narrow AI" OR all:"narrow AI" OR all:"general AI" OR all:"machine intelligence" OR all:"AI strengths and weaknesses" OR all:"traditional software" OR all:"rule-based systems" OR all:"introduction to AI" OR all:"introduction to artificial intelligence" OR all:"artificial intelligence introduction" OR all:"AI primer" OR all:"foundations of artificial intelligence" OR all:"overview of AI" OR all:"understanding AI" OR all:"history of AI" OR all:"AI essentials" OR all:"AI terminology" OR all:"metaphors for AI" OR all:"AI fundamental concepts" OR all:"AI key concepts" OR all:"philosophy of AI" OR all:"critical AI literacy")”. arXiv served the resource and is not asserted to be its publisher or author.
Text extracted from latexml-html to Markdown by arxiv-html; the original is retained unchanged beside it.

Where it was collected from, what was converted, and what container it came out of — the custody statements that would otherwise be mistaken for authorship.

IEEE 1484.12.1 Learning Object Metadata. LOM has no element for an SPDX identifier or a licence URI, so both are written into 6.3 Rights.Description. Flattening this record into simple Dublin Core would lose more again, which is why the two projections exist side by side rather than one being generated from the other. the standard ↗

1 General 5/8

Identifier 1.1

this engine resource_id
source 2 assertions

URI: tag:aim-pro.eu,2026:oer/94988a1ebfff
URI: https://arxiv.org/abs/2501.02725
ARXIV: 2501.02725
DOI: 10.1007/s10462-026-11494-w

This engine's identifier for the resource, the source URI, and any persistent identifier the source published.

Title 1.2

source resource/title

Advances in Artificial Intelligence: A Review for the Creative Industries

Language 1.3

language gate read the declared field

The language of the content, as the language gate read it off the converted text. The language the source declared is kept separately.

Description 1.4

source resource/summary

Artificial intelligence (AI) has undergone transformative advances since 2022, particularly through generative AI, large language models (LLMs), and diffusion models, fundamentally reshaping the creative industries. However, existing reviews have not comprehensively addressed these recent breakthroughs and their integrated impact across the creative production pipeline. This paper addresses this gap by providing a systematic review of AI technologies that have emerged or matured since our 2022 review, examining their applications across content creation, information analysis, post-production enhancement, compression, and quality assessment. We document how transformers, LLMs, diffusion models, and implicit neural representations have established new capabilities in text-to-image/video generation, real-time 3D reconstruction, and unified multi-task frameworks-shifting AI from support tool to core creative technology. Beyond technological advances, we analyze the trend toward unified AI frameworks that integrate multiple creative tasks, replacing task-specific solutions. We critically examine the evolving role of human-AI collaboration, where human oversight remains essential for creative direction and mitigating AI hallucinations. Finally, we identify emerging challenges including copyright concerns, bias mitigation, computational demands, and the need for robust regulatory frameworks. This review provides researchers and practitioners with a comprehensive understanding of current AI capabilities, limitations, and future trajectories in creative applications.

The abstract, and the depositor's additional notes after it as a second LangString when the source has a field for them.

Keyword 1.5

source resource/categories/0

cs.AI

Coverage 1.6

not collected — this library does not fill it

The time, place or culture the resource applies to. No source declares it.

Structure 1.7

not collected — this library does not fill it

Not declared by any of the three sources, and not estimated here.

Aggregation level 1.8

not collected — this library does not fill it

Not declared by any of the three sources, and not estimated here.

2 Life cycle 3/3

Version 2.1 source resource: v5
Status 2.2 source resource: revised

Draft, final, revised or unavailable, and only when the source says so. A first version is not thereby final.
Contribute 2.3 source 3 assertions: Nantheera Anantrasirichai — author
Fan Zhang — author
David Bull — author

Role, entity and date per declared contribution. A role outside LOM's vocabulary is reported in the entry's description instead.

3 Meta-metadata 4/4

Identifier 3.1 this engine resource_id: URI: tag:aim-pro.eu,2026:oer/94988a1ebfff/record

The identifier of this metadata record — the resource's own, with /record after it, because the record is a description of the resource and not the resource.
Contribute 3.2 this engine source: AIM-PRO WP3 OER harvester (arXiv) — creator

Who generated this record and when — a statement about the record, not about the resource.
Metadata schema 3.3: LOMv1.0
aimpro-oer-profile/1

LOMv1.0, and the profile this was built against.
Language 3.4 language gate read the declared field: en

4 Technical 3/7

Format 4.1

conversion latexml-html

text/markdown

One value per form held: the original as the source published it, and the Markdown this engine extracted.

Size 4.2

conversion latexml-html

263843

Bytes. The original's, because the resource is the file and not our conversion of it.

Location 4.3

this engine resource_id

https://arxiv.org/abs/2501.02725

Where the source serves it.

Requirement 4.4

not collected — this library does not fill it

Software or hardware needed to use it. No source declares it.

Installation remarks 4.5

not collected — this library does not fill it

No source declares it.

Other platform requirements 4.6

not collected — this library does not fill it

No source declares it.

Duration 4.7

not collected — this library does not fill it

Playing time, for audio and video. The corpus holds neither.

5 Educational 1/11

Interactivity type 5.1

not collected — this library does not fill it

Active, expositive or mixed. A judgement about how the resource is used; no source declares it.

Learning resource type 5.2

source resource
mapped learning_resource_type/preprint

narrative text

Only from a declaration that maps onto LOM's vocabulary. A file format is not a declaration.

Interactivity level 5.3

not collected — this library does not fill it

No source declares it, and nothing here reads the resource to judge it.

Semantic density 5.4

not collected — this library does not fill it

No source declares it, and nothing here reads the resource to judge it.

Intended end user role 5.5

mapped learning_resource_type/preprint

none found — the source did not declare it

Imported when declared.

Context 5.6

mapped learning_resource_type/preprint

none found — the source did not declare it

Imported when declared.

Typical age range 5.7

not collected — this library does not fill it

No source declares it.

Difficulty 5.8

mapped learning_resource_type/preprint

none found — the source did not declare it

Imported when declared and never estimated.

Typical learning time 5.9

mapped learning_resource_type/preprint

none found — the source did not declare it

Imported when declared. Never computed from a word count.

Description 5.10

mapped learning_resource_type/preprint

none found — the source did not declare it

An explicit statement about educational use, when the source makes one.

Language 5.11

not collected — this library does not fill it

The language of the intended learner. Not assumed to be the content's: a lesson in English may be written for learners of it.

6 Rights 3/3

Cost 6.1 licence gate arXiv:arXiv/arXiv:license: no — free to use

No: the licence gate refuses anything it cannot establish open reuse terms for, before the bytes are requested.
Copyright and other restrictions 6.2 licence gate arXiv:arXiv/arXiv:license: yes — attribution required (CC-BY-4.0)

Yes unless the licence reserves nothing — attribution is a restriction. The conditions after the dash are the licence gate's reading; the export carries LOM's bare term.
Description 6.3 licence gate arXiv:arXiv/arXiv:license: CC-BY-4.0 · http://creativecommons.org/licenses/by/4.0/. Conditions: adaptation permitted, attribution required.

The SPDX id, the licence URI and the conditions. LOM has no element for any of the three, so this is where they survive.

7 Relation 0/2

Kind 7.1: none found — the source did not declare it
Resource 7.2 inferred read its reference list, line 522 citation: references: doi:10.30574/ijsra.2025.14.1.0061
references: doi:10.1016/j.eswa.2024.125952
references: doi:10.1007/s10462-021-10039-7
references: arXiv:2402.01970
references: doi:10.1016/j.patrec.2023.05.017
references: arXiv:2412.17532
references: arXiv:2312.02218
references: arXiv:2204.05862
references: doi:10.1109/cvpr52688.2022.00539
references: doi:10.1109/cvprw59228.2023.00164
references: arXiv:2004.10934
references: arXiv:2108.07258
and 143 more, every one of them in the export

The container a file was found inside, and the Markdown extracted from the original. What a lab requires, and the lab a component belongs to, are inferred and stand apart.

8 Annotation 0/3

Entity 8.1

not collected — this library does not fill it

Comments on the resource's educational use, by whoever made them. The platform's review grades competencies, which are classification (9), and writes no comment here.

Date 8.2

not collected — this library does not fill it

Description 8.3

not collected — this library does not fill it

9 Classification 0/4

Purpose 9.1

not collected — this library does not fill it

Empty in the record: no source declares a competency. The alignment reads the resource for them and stands beside the record, never in it, and a taxon path derived from the search string that found it would be a claim about the query.

Taxon path 9.2

not collected — this library does not fill it

Where the competency framework goes. Empty in the record for the reason above.

Description 9.3

not collected — this library does not fill it

Keyword 9.4

not collected — this library does not fill it

What could not be established3

Where the source's metadata could not be carried over as it was — missing, contradictory, with no matching term in the standard, restructured, or taken from the repository — and what was done instead. Without these notes, an empty element would look like something the harvester missed.

Status	Field	Why
Not available	`rights_holder`	no rights holder is named at source; the licence is recorded without one rather than attributed to the platform that served it
Not available	`publisher`	the source named no publisher of the work; where it was collected from is recorded as collection provenance instead, which is a different claim
Not available	`educational`	the source declared no educational metadata — no resource type, audience, context, difficulty or learning time. Nothing here estimates them