TencentARC / ViT-LensLinks
[CVPR 2024] ViT-Lens: Towards Omni-modal Representations
☆183Updated 9 months ago
Alternatives and similar repositories for ViT-Lens
Users that are interested in ViT-Lens are comparing it to the libraries listed below
Sorting:
- ☆99Updated last year
- [NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"☆127Updated last year
- [CVPR 2024] Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities☆99Updated last year
- [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Lea…☆98Updated last year
- Official repo for StableLLAVA☆94Updated last year
- [NeurIPS 2024] Efficient Large Multi-modal Models via Visual Context Compression☆61Updated 8 months ago
- [ECCV2024] Official code implementation of Merlin: Empowering Multimodal LLMs with Foresight Minds☆94Updated last year
- [arXiv: 2502.05178] QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation☆93Updated 8 months ago
- Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models☆205Updated 10 months ago
- [CVPR 24] The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloadin…☆230Updated last year
- Official repository of paper "Subobject-level Image Tokenization" (ICML-25)☆88Updated 4 months ago
- [ICCV 2025] Explore the Limits of Omni-modal Pretraining at Scale☆118Updated last year
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆244Updated last year
- ☆73Updated last year
- ☆138Updated last year
- Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment☆60Updated 3 months ago
- FunQA benchmarks funny, creative, and magic videos for challenging tasks including timestamp localization, video description, reasoning, …☆104Updated 11 months ago
- PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models☆259Updated 3 months ago
- [ECCV 2024🔥] Official implementation of the paper "ST-LLM: Large Language Models Are Effective Temporal Learners"☆151Updated last year
- [COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs☆144Updated last year
- [NeurlPS 2024] One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos☆139Updated 10 months ago
- [ICLR 2025] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark☆130Updated 5 months ago
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆168Updated last year
- LAVIS - A One-stop Library for Language-Vision Intelligence☆48Updated last year
- DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception☆157Updated 11 months ago
- ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback☆76Updated last year
- This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…☆147Updated last month
- A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!☆135Updated last year
- [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …☆125Updated 7 months ago
- [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts☆331Updated last year