[AAAI2025] Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
☆27Apr 4, 2026Updated last month
Alternatives and similar repositories for Repurpose
Users that are interested in Repurpose are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS2023] Exploring Diverse In-Context Configurations for Image Captioning☆44Nov 26, 2024Updated last year
- Open source implementation of the paper "MM-Vid: Advancing Video Understanding with GPT-4V(ision)".☆40Jan 4, 2026Updated 4 months ago
- [CVPR2025] Number it: Temporal Grounding Videos like Flipping Manga☆146Jan 19, 2026Updated 3 months ago
- Using distilled CLIP model to deploy the android device☆20Feb 28, 2023Updated 3 years ago
- [TPAMI2025] BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors☆16Apr 23, 2025Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- [NIPS 25'] Evaluation code of paper "KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models"☆45Oct 19, 2025Updated 6 months ago
- ☆12May 26, 2022Updated 3 years ago
- Personalized Image Generation with Large Multimodal Models☆15May 13, 2025Updated 11 months ago
- [ICML 2025] Official code of "DAMA: Data- and Model-aware Alignment of Multi-modal LLMs"☆16May 24, 2025Updated 11 months ago
- [CVPR 2026] Accelerating Streaming Video Large Language Models via Hierarchical Token Compression☆63Feb 25, 2026Updated 2 months ago
- We introduce Reasoning via Video, a new paradigm that uses maze-solving video generation to probe multimodal reasoning; our VR-Bench show…☆60Feb 4, 2026Updated 3 months ago
- ☆12Jan 26, 2023Updated 3 years ago
- EraseAnything, ICML 2025☆40Sep 28, 2025Updated 7 months ago
- ☆15Dec 20, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.