RRepoGEO

REPOGEO REPORT · LITE

alibaba/Tora

Default branch main · commit f3605049 · scanned 6/23/2026, 11:33:04 AM

GitHub: 1,239 stars · 60 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 alibaba/Tora, 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
    Reposition README's opening sentence to clarify its core function

    Why:

    CURRENT
    This is the official repository for paper "Tora: Trajectory-oriented Diffusion Transformer for Video Generation".
    COPY-PASTE FIX
    Tora is the official repository for a cutting-edge video generation model, specifically a Trajectory-oriented Diffusion Transformer (DiT) designed for creating high-quality, controllable video content. This project implements the methods described in our CVPR'25 paper.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    video-generation, diffusion-models, transformer, deep-learning, computer-vision, ai-art, cvpr2025
  • mediumreadme#3
    Strengthen the README's abstract for AI understanding

    Why:

    CURRENT
    Recent advancements in Diffusion Transformer (DiT) have demonstrated remarkable proficiency in producing high-quality video content. Nonetheless, the potential of transformer-based diffusion models for effectively generating videos with controllable motion remains an area of limited exploration. This paper introduces Tora, the first trajectory-oriented DiT framework that integrates textual, visual, and trajectory conditions concurrently for
    COPY-PASTE FIX
    Tora introduces the first trajectory-oriented Diffusion Transformer (DiT) framework, specifically designed for advanced video generation with controllable motion. Unlike prior DiT models, Tora uniquely integrates textual, visual, and trajectory conditions, enabling the creation of high-quality video content with unprecedented control over object movement and scene dynamics. This breakthrough addresses the limited exploration of controllable motion in transformer-based diffusion models, pushing the boundaries of what's possible in AI video synthesis.

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 alibaba/Tora
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Sora
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Sora · recommended 2×
  2. Stable Video Diffusion · recommended 2×
  3. Phenaki · recommended 1×
  4. Imagen Video · recommended 1×
  5. NUWA-Infinity · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality videos using a diffusion transformer architecture?
    you: not recommended
    AI recommended (in order):
    1. Sora
    2. Stable Video Diffusion
    3. Phenaki
    4. Imagen Video
    5. NUWA-Infinity
    6. Make-A-Video

    AI recommended 6 alternatives but never named alibaba/Tora. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI models for generating realistic and coherent video content?
    you: not recommended
    AI recommended (in order):
    1. Sora
    2. RunwayML Gen-2
    3. Pika Labs
    4. Stable Video Diffusion
    5. Google Lumiere
    6. Meta Make-A-Video

    AI recommended 6 alternatives but never named alibaba/Tora. 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 alibaba/Tora?
    pass
    AI named alibaba/Tora explicitly

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

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

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

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alibaba/Tora — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite