2 citations · 3 across the 7 of their papers we have counts for
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RefDiT: Local Attribute Guidance in Reference-Based Image Generation
Rameshwar Mishra, Srikrishna Karanam, A V Subramanyam
Personalization models generate new images guided by a few subject references, while style transfer methods aim to produce images aligned with a global style derived from a referen…
Nearest Neighbor Projection Removal Adversarial Training
Himanshu Singh, A. V. Subramanyam, Shivank Rajput +1
Deep neural networks have exhibited impressive performance in image classification tasks but remain vulnerable to adversarial examples. Standard adversarial training enhances robus…
Novel View Synthesis using DDIM Inversion
Sehajdeep Singh, A V Subramanyam, Aditya Gupta +1
Single-image novel view synthesis requires viewpoint-dependent structural changes while retaining source-scene information and inferring unobserved content. We formulate this task…
Conditional Consistency Guided Image Translation and Enhancement
Amil Bhagat, Milind Jain, A. V. Subramanyam
Consistency models have emerged as a promising alternative to diffusion models, offering high-quality generative capabilities through single-step sample generation. However, their…
Image Synthesis with Graph Conditioning: CLIP-Guided Diffusion Models for Scene Graphs
Rameshwar Mishra, A V Subramanyam
Advancements in generative models have sparked significant interest in generating images while adhering to specific structural guidelines. Scene graph to image generation is one su…