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20232026
most citedDIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2026

KC-3DGS: Kurtosis-Constrained Gaussian Splatting for High-Fidelity View Synthesis

Vivekjyoti Banerjee, Abhay Yadav, Rama Chellappa +1

3D Gaussian Splatting (3DGS) enables real-time novel view synthesis by representing scenes as collections of anisotropic Gaussians optimized via differentiable rasterization. Howev…

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.CV2024

BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception

Aniket Roy, Anirban Roy, Soma Mitra +1

Visual illusions play a significant role in understanding visual perception. Current methods in understanding and evaluating visual illusions are mostly deterministic filtering bas…

cs.CV20231 cited

DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics

Aniket Roy, Maiterya Suin, Anshul Shah +3

Diffusion models have advanced generative AI significantly in terms of editing and creating naturalistic images. However, efficiently improving generated image quality is still of…