REPOGEO REPORT · LITE

williamyang1991/Rerender_A_Video

Default branch main · commit dfaf9d88 · scanned 6/25/2026, 4:03:24 PM

GitHub: 3,002 stars · 199 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)

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

AI VISIBILITY SCORE

27 /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

1 / 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 williamyang1991/Rerender_A_Video, 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 the README's opening to clearly state the problem and solution

Why:

CURRENT

# Rerender A Video - Official PyTorch Implementation

**Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation**<br>
Shuai Yang, Yifan Zhou, Ziwei Liu and Chen Change Loy<br>
in SIGGRAPH Asia 2023 Conference Proceedings <br>

COPY-PASTE FIX

# Rerender A Video - Official PyTorch Implementation

This repository provides the official PyTorch implementation for 'Rerender A Video', a zero-shot text-guided video-to-video translation framework. It addresses the critical challenge of ensuring temporal consistency when adapting image diffusion models to videos, enabling high-quality video style transfer and re-rendering.

**Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation**<br>
Shuai Yang, Yifan Zhou, Ziwei Liu and Chen Change Loy<br>
in SIGGRAPH Asia 2023 Conference Proceedings <br>

mediumtopics#2

Add more specific topics for video-to-video translation and temporal consistency

Why:

CURRENT

controlnet, diffusion, video-processing

COPY-PASTE FIX

controlnet, diffusion, video-processing, video-to-video-translation, temporal-consistency, video-style-transfer, generative-ai-video

lowlicense#3

Clarify the project's license(s) in the README

Why:

COPY-PASTE FIX

## License

This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details regarding usage and distribution.

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 williamyang1991/Rerender_A_Video

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

RunwayML Gen-1 / Gen-2

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

RunwayML Gen-1 / Gen-2 · recommended 1×
TGAN · recommended 1×
VideoGAN · recommended 1×
Phenaki · recommended 1×
Make-A-Video · recommended 1×

CATEGORY QUERY
What are effective methods for text-guided video style transfer and re-rendering?
you: not recommended
AI recommended (in order):
1. RunwayML Gen-1 / Gen-2
AI recommended 1 alternative but never named williamyang1991/Rerender_A_Video. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to achieve temporal consistency in AI-generated video content?
you: not recommended
AI recommended (in order):
1. TGAN
2. VideoGAN
3. Phenaki
4. Make-A-Video
5. RunwayML Gen-1
6. RunwayML Gen-2
AI recommended 6 alternatives but never named williamyang1991/Rerender_A_Video. 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 williamyang1991/Rerender_A_Video?
pass
AI did not name williamyang1991/Rerender_A_Video — 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 williamyang1991/Rerender_A_Video in production, what risks or prerequisites should they evaluate first?
pass
AI named williamyang1991/Rerender_A_Video 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 williamyang1991/Rerender_A_Video solve, and who is the primary audience?
pass
AI did not name williamyang1991/Rerender_A_Video — 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?

Embed your GEO score

Drop this badge into the README of williamyang1991/Rerender_A_Video. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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Pro

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williamyang1991/Rerender_A_Video — 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