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  1. Home
  2. Signal Canvas
  3. WAFT-Stereo: Warping-Alone Field Transforms for Stereo Match
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WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching

Fresh1d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 12

References: 0

Proof: partial

Distribution: unknown

Source paper: WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching

PDF: https://arxiv.org/pdf/2603.24836v1

Repository: https://github.com/princeton-vl/WAFT-Stereo

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-27T20:30:31.138738+00:00

Starting…

Dimensions overall score 9.0

GitHub Code Pulse

Stars
39
Health
C
Last commit
4/2/2026
Forks
1
Open repository

Key claims

Strong 12Mixed 0Weak 0

Founder DNA

Yihan Wang
Princeton University
Papers 1
Founder signal: 30/100
Research
Jia Deng
Princeton University
Papers 1
Founder signal: 30/100
Research

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Keep exploring

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Competing Approach
Deep S2P: Integrating Learning Based Stereo Matching Into the Satellite Stereo Pipeline
Score 7.0down
Competing Approach
Pano360: Perspective to Panoramic Vision with Geometric Consistency
Score 7.0down
Competing Approach
Near-light Photometric Stereo with Symmetric Lights
Score 3.0down

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Related Resources

  • What innovations are being explored in computer vision?(question)
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Recommended Stack

OpenCVComputer Vision
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Stability AIGenerative AI
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$9K - $13K
6-10 weeks
Engineering
$8,000
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$800
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$300
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$100

6mo ROI

0.5-1.5x

3yr ROI

5-12x

Computer vision products require more validation time. Hardware integrations may slow early revenue, but $100K+ deals at 3yr are common.

Talent Scout

Y

Yihan Wang

Princeton University

J

Jia Deng

Princeton University

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