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Ashish Goswami I'm a fourth year PhD student (TCS Research Fellow) at Yardi School of AI@IIT-Delhi, where I'm working on object-centric generation and editing of images using Diffusion Models, advised by Prof. Parag Singla I completed my Bachelors in Electronics and Communication Engineering from IIIT-Guwahati, during which I did a few internships centered around Large Scale ML and generative models at Delhivery and Spyne.ai |
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ResearchI'm broadly interested in building reasoning capabilities in multi-modal generative models like Text-to-image diffusion and Text driven image-editing models. Recent work on object centric representation learning has some pretty neat ideas which I'd like explore. |
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Image Manipulation via Multi-Hop Instructions -- A New Dataset and
Weakly-Supervised Neuro-Symbolic Approach
Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg, EMNLP 2023 video / arXiv New datasets and a modular method for weakly-supervised instruction guided image manipulations. |
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GraPE: A Generate-Plan-Edit Framework for Compositional T2I
Synthesis
Ashish Goswami, Satyam Modi, Santhosh Rishi Deshineni, Harman Singh, Prathosh A. P, Parag Singla, Arxiv Preprint 2024 & MMFM Workshop @ CVPR'25 Project Page / arXiv / Code An unifying and generic framework for improving semantic alignemt of T2I models by post-hoc alignment of generated images via iterating editing. |
TA Duties |
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Sem II · 2025-26
COL775: Deep Learning
Sem I · 2025-26
COL774: Machine Learning
Sem II · 2024-25
AIL721: Deep Learning
Sem I · 2024-25
COL828: Advance Computer Vision
Sem II · 2023-24
COL775: Deep Learning
Sem I · 2023-24
COL774: Machine Learning
Sem II · 2022-23
AIL861: Special topics in Applications
Sem I · 2022-23
COL671: Intro to Principles of AI
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