RRepoGEO

REPOGEO REPORT · LITE

zai-org/SCAIL

Default branch master · commit 8f94dcd6 · scanned 6/14/2026, 12:13:28 PM

GitHub: 991 stars · 57 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 zai-org/SCAIL, 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
  • highabout#1
    Reposition the 'About' description to explicitly state the project's core function

    Why:

    CURRENT
    SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations (CVPR 2026 Findings)
    COPY-PASTE FIX
    SCAIL is an official implementation for studio-grade character animation, using in-context learning of 3D-consistent pose representations. (CVPR 2026 Findings)
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://teal024.github.io/SCAIL/
  • mediumreadme#3
    Strengthen the README's opening paragraph to explicitly state the problem solved and target user

    Why:

    CURRENT
    This repository contains the official implementation code of our paper accepted by *CVPR 2026 Findings Track*: **SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations**. The code is for the inference of SCAIL-Preview Model, a 14B DiT that enables challenging character animation by **In-Context Learning** of **3D-Consistent Pose Representation**.
    COPY-PASTE FIX
    SCAIL provides the official implementation for achieving studio-grade character animation, specifically addressing challenges in complex motions through In-Context Learning of 3D-Consistent Pose Representations. This repository contains the code for the inference of our SCAIL-Preview Model, a 14B DiT, as presented in our *CVPR 2026 Findings Track* paper.

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 zai-org/SCAIL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Autodesk Maya
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Autodesk Maya · recommended 1×
  2. Unreal Engine · recommended 1×
  3. MetaHuman Creator · recommended 1×
  4. Blender · recommended 1×
  5. SideFX Houdini · recommended 1×
  • CATEGORY QUERY
    How to achieve studio-grade character animation with 3D-consistent pose representations for complex motions?
    you: not recommended
    AI recommended (in order):
    1. Autodesk Maya
    2. Unreal Engine
    3. MetaHuman Creator
    4. Blender
    5. SideFX Houdini
    6. MotionBuilder
    7. Cascadeur

    AI recommended 7 alternatives but never named zai-org/SCAIL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI models can generate realistic character animations from existing video inputs, handling complex scenarios?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. Plask
    3. Rokoko Video
    4. MetaHuman Animator
    5. OpenPose
    6. AlphaPose
    7. HRNet
    8. SMPL
    9. SMPL-X
    10. Mixamo
    11. PyMAF-X
    12. VIBE

    AI recommended 12 alternatives but never named zai-org/SCAIL. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 zai-org/SCAIL?
    pass
    AI named zai-org/SCAIL explicitly

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

  • If a team adopts zai-org/SCAIL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/SCAIL 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 zai-org/SCAIL solve, and who is the primary audience?
    pass
    AI named zai-org/SCAIL explicitly

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

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zai-org/SCAIL — 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