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mbzuai-oryx/Video-ChatGPT

[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models. observed · 2026-08-28

github.com/mbzuai-oryx/Video-ChatGPT · homepage · Python · CC-BY-4.0 (other) observed · 2026-08-28

Health v2 · maintenance only

45/100

  • Activity 35
  • Release rhythm 35
  • Longevity 85

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1203
  • days_rel: n/a
  • days_push: 394
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1506 stars · 128 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Video-ChatGPT is a video conversation model that combines large language models with a pretrained visual encoder adapted for spatiotemporal video representation, enabling detailed conversation about videos. It also ships a quantitative evaluation benchmarking framework (VCGBench) for assessing video-based conversational models.

Use cases

  • chat with a model about a video's content
  • generate detailed video descriptions and captions
  • zero-shot video question answering
  • benchmark video conversational models quantitatively
  • build a multimodal video understanding assistant
  • evaluate temporal understanding of video LLMs

When to choose

  • you need a research-grade video-language conversation model
  • you want a standardized benchmark for video chat models
  • you need zero-shot video QA on datasets like MSVD, MSRVTT, TGIF, or ActivityNet

When to avoid

  • you need production-ready, low-latency video analysis at scale
  • you lack GPU resources for inference and training
  • you only need image (not video) understanding

Facets

library · maturity active

machine-learning video-processing chatbot llm-inference benchmarking artificial-intelligence computer-vision large-language-models python multimodal vision-language-model video-understanding video-qa video-conversation evaluation-benchmark research video natural-language-processing gpu linux

2 sources

Member repositories

RepositoryRoleHealth v2
mbzuai-oryx/Video-ChatGPTmain45

For agents

markdown · JSON · MCP: product_card(name="mbzuai-oryx/Video-ChatGPT")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem