2 papers
cs.LG2026
Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion Sampling
Jagriti Singh, Shekhar Verma, Muneendra Ojha
Diffusion models have emerged as state-of-the-art generative models for high-fidelity image synthesis, particularly in their classifier-free guided and classifier-guided forms. How…
cs.CV2025
Learning Latent Representations for Image Translation using Frequency Distributed CycleGAN
Shivangi Nigam, Adarsh Prasad Behera, Shekhar Verma +1
This paper presents Fd-CycleGAN, an image-to-image (I2I) translation framework that enhances latent representation learning to approximate real data distributions. Building upon th…