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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 91–100 of 127 papers

TitleStatusHype
Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM—0
Affordance-Guided Reinforcement Learning via Visual Prompting—0
UICrit: Enhancing Automated Design Evaluation with a UICritique DatasetCode0
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement—0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
Robust Adaptation of Foundation Models with Black-Box Visual Prompting—0
Towards Open-World Grasping with Large Vision-Language Models—0
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics—0
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following—0
Learning Visual Prompts for Guiding the Attention of Vision Transformers—0
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