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20212026
most citedPrompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding

7 citations · 7 across the 8 of their papers we have counts for

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cs.CV2026

Attribute-Conditioned Multimodal Slot Factorization for Controllable Fashion Retrieval

Najmeh Forouzandehmehr, Topojoy Biswas, Evren Korpeoglu +1

Fashion retrieval often requires satisfying multiple attributes at once, such as category, color, pattern, and demographic. Monolithic embeddings mix these signals into a single ve…

cs.CV2026

Segment and Matte Anything in a Unified Model

Zezhong Fan, Xiaohan Li, Topojoy Biswas +2

Segment Anything (SAM) has recently pushed the boundaries of segmentation by demonstrating zero-shot generalization and flexible prompting after training on over one billion masks.…

cs.CV2025

Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding

Vahid Mirjalili, Ramin Giahi, Sriram Kollipara +9

Spatial understanding is a critical capability for vision foundation models. While recent advances in large vision models or vision-language models (VLMs) have expanded recognition…

cs.CV2025

LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning

Zezhong Fan, Xiaohan Li, Luyi Ma +6

Designing realistic multi-object scenes requires not only generating images, but also planning spatial layouts that respect semantic relations and physical plausibility. On one han…

cs.CV2024★ 7 cited

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding

Zezhong Fan, Xiaohan Li, Chenhao Fang +4

The rapid evolution of text-to-image diffusion models has opened the door of generative AI, enabling the translation of textual descriptions into visually compelling images with re…