2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Log NeRF: Comparing Spaces for Learning Radiance Fields
Sihe Chen, Luv Verma, Bruce A. Maxwell
Neural Radiance Fields (NeRF) have achieved remarkable results in novel view synthesis, typically using sRGB images for supervision. However, little attention has been paid to the…
cs.CL2023★ 2 cited
Optimizing transformer-based machine translation model for single GPU training: a hyperparameter ablation study
Luv Verma, Ketaki N. Kolhatkar
In machine translation tasks, the relationship between model complexity and performance is often presumed to be linear, driving an increase in the number of parameters and conseque…
cs.CV2023★ 2 cited
Vector quantization loss analysis in VQGANs: a single-GPU ablation study for image-to-image synthesis
Luv Verma, Varun Mohan
This study performs an ablation analysis of Vector Quantized Generative Adversarial Networks (VQGANs), concentrating on image-to-image synthesis utilizing a single NVIDIA A100 GPU.…