About Me
I am a first year Ph.D. student in the College of Engineering and Computer Science (CECS) at the Australian National University, where I am fortunate to be supervised by Prof. Liang Zheng and Prof. Stephen Gould.Previously, I was a research intern at Adobe Research. Prior to that, I had graduated from Masters of Machine learning and Computer Vision with first class honours from the Australian National University. Even earlier, I was working as a machine learning research engineer at Yahoo Japan. I received my Bachelors in Electrical Engineering with specialization in intelligent and cognitive systems from IIT Delhi.
I am currently engaged in exploring a novel approach to interactive image synthesis and editing, by using deep reinforcement learning for understanding human visual user-intention (i.e. what a user wants to draw) from the primitive human inputs (e.g. coarse scribbles). We believe that applications from this research can provide human-users with new ways to better express their inner ideas in direct visual form.

Publications
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High-Fidelity Guided Image Synthesis with Latent Diffusion ModelsJaskirat Singh, Stephen Gould, and Liang Zheng.CVPR 2023 [Paper] [Code] [Project Website] |
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Paint2Pix: Interactive Painting based Progressive Image Synthesis
Jaskirat Singh, Liang Zheng, Cameron Smith, and Jose Echevarria. |
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Intelli-Paint: Towards Developing More Human-Intelligible Painting AgentsJaskirat Singh, Cameron Smith, Jose Echevarria, and Liang Zheng.ECCV 2022, US Patent [Paper] [Project Website] |
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Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level PaintingsJaskirat Singh and Liang Zheng, 2021.CVPR 2021 [Paper] [Code] |
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Enhanced Scene Specificity with Sparse Dynamic Value EstimationJaskirat Singh and Liang Zheng, 2020arXiv 2021 [Paper] |
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Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement LearningJaskirat Singh and Liang Zheng, 2020arXiv 2021 [Paper] |