3 papers
cs.CV2026
Verifier Threshold: An Efficient Test-Time Scaling Approach for Image Generation
Vignesh Sundaresha, Akash Haridas, Vikram Appia +1
Image generation has emerged as a mainstream application of large generative models. Just as test-time compute and reasoning have improved language model capabilities, similar bene…
cs.CV2025
Designing Parameter and Compute Efficient Diffusion Transformers using Distillation
Vignesh Sundaresha
Diffusion Transformers (DiTs) with billions of model parameters form the backbone of popular image and video generation models like DALL.E, Stable-Diffusion and SORA. Though these…
cs.LG2024
Growing Efficient Accurate and Robust Neural Networks on the Edge
Vignesh Sundaresha, Naresh Shanbhag
The ubiquitous deployment of deep learning systems on resource-constrained Edge devices is hindered by their high computational complexity coupled with their fragility to out-of-di…