3 papers
cs.LG2026
B-DENSE: Branching For Dense Ensemble Network Supervision Efficiency
Cherish Puniani, Tushar Kumar, Arnav Bendre +2
Inspired by non-equilibrium thermodynamics, diffusion models have achieved state-of-the-art performance in generative modeling. However, their iterative sampling nature results in…
cs.CV2025
IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation
Amritanshu Tiwari, Cherish Puniani, Kaustubh Sharma +1
Recent advances in text-to-image diffusion models, particularly Stable Diffusion, have enabled the generation of highly detailed and semantically rich images. However, personalizin…
cs.CV2025
Impact of Language Guidance: A Reproducibility Study
Cherish Puniani, Advika Sinha, Shree Singhi +1
Modern deep-learning architectures need large amounts of data to produce state-of-the-art results. Annotating such huge datasets is time-consuming, expensive, and prone to human er…