most citedFace Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2025

DenseAnnotate: Enabling Scalable Dense Caption Collection for Images and 3D Scenes via Spoken Descriptions

Xiaoyu Lin, Aniket Ghorpade, Hansheng Zhu +9

With the rapid adoption of multimodal large language models (MLLMs) across diverse applications, there is a pressing need for task-centered, high-quality training data. A key limit…

cs.CV2023★ 1 cited

Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks

Sandeep Shinde, Tejas Pradhan, Aniket Ghorpade +1

Generative Networks have proved to be extremely effective in image restoration and reconstruction in the past few years. Generating faces from textual descriptions is one such appl…