3 papers
cs.CV2026
Zero-Shot Personalization of Objects via Textual Inversion
Aniket Roy, Maitreya Suin, Rama Chellappa
Recent advances in text-to-image diffusion models have substantially improved the quality of image customization, enabling the synthesis of highly realistic images. Despite this pr…
cs.CV2025
MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance
Aniket Roy, Maitreya Suin, Ketul Shah +1
Low-Rank Adaptation (LoRA) has gained prominence as a computationally efficient method for fine-tuning generative models, enabling distinct visual concept synthesis with minimal ov…
cs.GR2025
DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization
Aniket Roy, Shubhankar Borse, Shreya Kadambi +8
We tackle the challenge of jointly personalizing content and style from a few examples. A promising approach is to train separate Low-Rank Adapters (LoRA) and merge them effectivel…