RRepoGEO

REPOGEO REPORT · LITE

cvlab-columbia/zero123

Default branch main · commit f426883b · scanned 5/12/2026, 7:47:55 AM

GitHub: 3,051 stars · 217 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface cvlab-columbia/zero123, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a concise value proposition to the README's opening

    Why:

    CURRENT
    # Zero-1-to-3: Zero-shot One Image to 3D Object
### ICCV 2023
    COPY-PASTE FIX
    # Zero-1-to-3: Zero-shot One Image to 3D Object
### ICCV 2023

Zero-1-to-3 enables zero-shot 3D object generation and novel view synthesis from a *single input image*, leveraging the power of pre-trained 2D diffusion models. This project provides a robust method for single-view 3D reconstruction.
  • mediumreadme#2
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators

Unlike traditional multi-view 3D reconstruction methods or general NeRF-based approaches, Zero-1-to-3 specializes in *zero-shot* generation of 3D objects and novel views from *only a single 2D input image*. It achieves this by adapting powerful 2D diffusion models, offering a unique solution for rapid 3D asset creation without extensive data or optimization.
  • mediumtopics#3
    Expand repository topics to include core technologies

    Why:

    CURRENT
    image-to-3d, novel-view-synthesis, single-view-reconstruction, stable-diffusion, zero-shot
    COPY-PASTE FIX
    image-to-3d, novel-view-synthesis, single-view-reconstruction, stable-diffusion, zero-shot, diffusion-models, generative-ai-3d

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface cvlab-columbia/zero123
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Luma AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Luma AI · recommended 1×
  2. Instant NGP · recommended 1×
  3. NeRFStudio · recommended 1×
  4. Kiri Engine · recommended 1×
  5. Spline · recommended 1×
  • CATEGORY QUERY
    How can I generate a 3D object model from just one 2D image?
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Instant NGP
    3. NeRFStudio
    4. Kiri Engine
    5. Spline
    6. Blender
    7. Agisoft Metashape
    8. RealityCapture

    AI recommended 8 alternatives but never named cvlab-columbia/zero123. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking methods for zero-shot novel view synthesis from a single input image.
    you: not recommended
    AI recommended (in order):
    1. PixelNeRF
    2. MVSNeRF
    3. GPNR
    4. GIRAFFE
    5. pi-GAN
    6. Zero-1-to-3
    7. SyncDreamer
    8. IBRNet

    AI recommended 8 alternatives but never named cvlab-columbia/zero123. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of cvlab-columbia/zero123?
    pass
    AI did not name cvlab-columbia/zero123 — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts cvlab-columbia/zero123 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cvlab-columbia/zero123 explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo cvlab-columbia/zero123 solve, and who is the primary audience?
    pass
    AI named cvlab-columbia/zero123 explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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cvlab-columbia/zero123 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite