Aishwarya Agarwal
Research Associate, Adobe | PhD (Part-time), IIIT Hyderabad
I’m a Research Associate at Adobe Research India, and a part-time PhD student at CVIT, IIIT Hyderabad. I'm advised by Dr. Vineet Gandhi and co-advised by Dr. Srikrishna Karanam.
My research focuses on Representation Learning in low-resource settings, Explainable Computer Vision, and customizing Diffusion Models (e.g., Stable Diffusion) for creative tasks like text-to-image generation.
I hold a Dual Degree (BTech + MTech) from IIT Bombay in Electrical Engineering and AI & Data Science. I previously interned at Adobe, working on multimodal understanding and scene enrichment.
News
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March 28, 2025Our work on enabling disentangled color-style control in diffusion models got accepted in CVPR CVEU Workshop 2025!
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Feb 27, 2025Two papers accepted at CVPR 2025. Our paper TIDE on training locally interpretable models is selected as a Highlight!
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Oct 29, 2024Two papers accepted at WACV 2025 on training-free diffusion model customization while balancing reconstruction-editability tradeoff.
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Oct 23, 2023Our iterative image editing work using diffusion models is accepted to WACV 2024.
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Jul 14, 2023Work on improving image-text alignment in diffusion models accepted to ICCV 2023!
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Mar 4, 2023Sketchbuddy, our project on assisted sketching, is accepted to ACM MMSys 2023. Part of my undergrad internship at Adobe!
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Aug 26, 2022Research on open-set cross-domain generalization accepted to WACV 2023 — part of my IITB thesis with Adobe.
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Jul 12, 2022Joined Adobe Research, Bangalore!.
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June 24, 2022Our work on few-shot class-incremental learning accepted to ACM Multimedia 2022. My first lead-author paper with Prof. Biplab!
Publications
2025
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Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis
In Computer Vision and Pattern Recognition Workshop (CVPRW), 2025. -
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
In Computer Vision and Pattern Recognition (CVPR), 2025 (Highlight). -
Composing Parts for Expressive Object Generation
In Computer Vision and Pattern Recognition (CVPR), 2025. -
An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image Synthesis
In Winter Conference on Applications of Computer Vision (WACV), 2025. -
AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models
In Winter Conference on Applications of Computer Vision (WACV), 2025.
2024
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Iterative Multi-Granular Image Editing Using Diffusion Models
In Winter Conference on Applications of Computer Vision (WACV), 2024.
2023
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ASTAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
In International Conference on Computer Vision (ICCV), 2023. -
SketchBuddy: Context-Aware Sketch Enrichment and Enhancement
In ACM Multimedia Systems Conference (ACM MMSys), 2023. -
Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval
In Winter Conference on Applications of Computer Vision (WACV), 2023.
2022
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Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning
In ACM International Conference on Multimedia (ACM MM), 2022.
2021
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MIMOQA: Multimodal Input Multimodal Output Question Answering
In North American Chapter of the Association for Computational Linguistics (NAACL-HLT), 2021.
Email: agarwal.aishwarya2013@gmail.com