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Visual Prompting

Visual Prompting is the task of streamlining computer vision processes by harnessing the power of prompts, inspired by the breakthroughs of text prompting in NLP. This innovative approach involves using a few visual prompts to swiftly convert an unlabeled dataset into a deployed model, significantly reducing development time for both individual projects and enterprise solutions.

Papers

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Showing 71–80 of 127 papers

TitleStatusHype
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model—0
Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM—0
Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation—0
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement—0
DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models—0
EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery—0
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting—0
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