7 citations · 14 across the 30 of their papers we have counts for
10 papers · 1 filter
A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss
Suryaansh Jain, Rahasya Barkur, Vishal G +8
An image may be worth a thousand words, but most captioning models describe it in only a few. Modern vision-language models produce fluent high-level captions, yet routinely miss t…
Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis
Runzhou Liu, Hailey Weingord, Sejal Mittal +18
Evaluating image editing models remains challenging due to the coarse granularity and limited interpretability of traditional metrics, which often fail to capture aspects important…
Step-by-step Layered Design Generation
Faizan Farooq Khan, K J Joseph, Koustava Goswami +2
Design generation, in its essence, is a step-by-step process where designers progressively refine and enhance their work through careful modifications. Despite this fundamental cha…
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation
Sofia Jamil, Kotla Sai Charan, Sriparna Saha +2
Poetry is an expressive form of art that invites multiple interpretations, as readers often bring their own emotions, experiences, and cultural backgrounds into their understanding…
PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement
Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar +3
Recent advancements in text-to-image diffusion models have achieved remarkable success in generating realistic and diverse visual content. A critical factor in this process is the…
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models
Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar +3
The task of text-to-image generation has encountered significant challenges when applied to literary works, especially poetry. Poems are a distinct form of literature, with meaning…
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation
Sayan Nag, Koustava Goswami, Srikrishna Karanam
Referring Expression Segmentation (RES) aims to provide a segmentation mask of the target object in an image referred to by the text (i.e., referring expression). Existing methods…
Iterative Multi-granular Image Editing using Diffusion Models
K J Joseph, Prateksha Udhayanan, Tripti Shukla +4
Recent advances in text-guided image synthesis has dramatically changed how creative professionals generate artistic and aesthetically pleasing visual assets. To fully support such…
CoPL: Contextual Prompt Learning for Vision-Language Understanding
Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan +2
Recent advances in multimodal learning has resulted in powerful vision-language models, whose representations are generalizable across a variety of downstream tasks. Recently, thei…
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
Aishwarya Agarwal, Srikrishna Karanam, K J Joseph +3
While recent developments in text-to-image generative models have led to a suite of high-performing methods capable of producing creative imagery from free-form text, there are sev…