International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Dream Visualization in AI: Integrating Image Generation and Dream Analysis

Author(s) Mr. Atharva Sagar Dahiwal, Ms. Rutuja Ramesh Godambe
Country India
Abstract Dreams represent complex manifestations of human emotion, memory, and subconscious cognition, yet their visualization remains largely subjective. Recent advances in artificial intelligence, particularly in generative and multimodal learning, have enabled new possibilities for interpreting and visualizing abstract mental experiences. This paper presents the DREAM (Deep Report for Enhanced AI Modeling) framework, a novel architecture that integrates natural language processing, affective computing, and diffusion-based image generation to transform textual dream narratives into emotionally grounded and semantically coherent visual representations. The framework extracts symbolic entities, narrative structure, and affective states from dream reports and maps them into a multimodal latent space to guide conditional image synthesis. By emphasizing semantic grounding and emotional fidelity, DREAM moves beyond literal text-to-image generation toward psychologically meaningful visualization. Experimental results and qualitative analysis demonstrate improved emotional consistency and narrative coherence compared to existing generative models. The proposed approach highlights the potential of emotionally aware generative AI for applications in psychology, creative arts, and cognitive research.
Keywords Dream Visualization, Artificial Intelligence, Generative AI, Diffusion Models, Natural Language Processing, Affective Computing, Multimodal Learning, Dream Analysis, Semantic Grounding, Emotional Modeling
Field Engineering
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-06
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals