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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

Showing 101110 of 127 papers

TitleStatusHype
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4VCode4
Unifying Image Processing as Visual Prompting Question Answering0
AutoVP: An Automated Visual Prompting Framework and BenchmarkCode1
VPA: Fully Test-Time Visual Prompt Adaptation0
Uncovering the Hidden Cost of Model CompressionCode0
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation0
Visual Instruction Inversion: Image Editing via Visual PromptingCode1
Fast Segment AnythingCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Fine-Grained Visual PromptingCode1
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