1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis
Ashish Goswami, Satyam Kumar Modi, Santhosh Rishi Deshineni +3
Text-to-image (T2I) generation has seen significant progress with diffusion models, enabling generation of photo-realistic images from text prompts. Despite this progress, existing…
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
Sanket Gandhi, Atul, Samanyu Mahajan +4
Recent work has shown that object-centric representations can greatly help improve the accuracy of learning dynamics while also bringing interpretability. In this work, we take thi…
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach
Harman Singh, Poorva Garg, Mohit Gupta +7
We are interested in image manipulation via natural language text -- a task that is useful for multiple AI applications but requires complex reasoning over multi-modal spaces. We e…