rccchoudhury / rltLinks
Official Implementation for our NeurIPS 2024 paper, "Don't Look Twice: Run-Length Tokenization for Faster Video Transformers".
☆231Updated 8 months ago
Alternatives and similar repositories for rlt
Users that are interested in rlt are comparing it to the libraries listed below
Sorting:
- Scaling Vision Pre-Training to 4K Resolution☆217Updated 3 months ago
- Code for the paper "Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers" [ICCV 2025]☆97Updated 4 months ago
- Code for "Scaling Language-Free Visual Representation Learning" paper (Web-SSL).☆192Updated 7 months ago
- [arXiv: 2502.05178] QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation☆94Updated 9 months ago
- An open source implementation of CLIP (With TULIP Support)☆164Updated 7 months ago
- Code for MetaMorph Multimodal Understanding and Generation via Instruction Tuning☆228Updated 8 months ago
- PyTorch implementation of NEPA☆70Updated this week
- [CVPR2025 Highlight] PAR: Parallelized Autoregressive Visual Generation. https://yuqingwang1029.github.io/PAR-project☆184Updated 9 months ago
- [ICLR 2025] VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation☆411Updated 8 months ago
- [ICLR 2025] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark☆137Updated 6 months ago
- FlexTok: Resampling Images into 1D Token Sequences of Flexible Length☆279Updated 6 months ago
- ☆80Updated 2 weeks ago
- Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).☆96Updated 10 months ago
- [ICLR 2025] Diffusion Feedback Helps CLIP See Better☆298Updated 11 months ago
- ☆187Updated last year
- [ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation☆373Updated 6 months ago
- Code for Scaling Language-Free Visual Representation Learning (WebSSL)☆245Updated 8 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆163Updated last year
- Towards Scalable Pre-training of Visual Tokenizers for Generation☆357Updated last week
- Code for ICML 2025 Paper "Highly Compressed Tokenizer Can Generate Without Training"☆195Updated 6 months ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆89Updated last year
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆107Updated 2 months ago
- DDT: Decoupled Diffusion Transformer☆343Updated 4 months ago
- [NeurIPS 2024 D&B Track] Official Repo for "LVD-2M: A Long-take Video Dataset with Temporally Dense Captions"☆73Updated last year
- [ICCV 2025] Official repo for "GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation"☆195Updated 2 weeks ago
- Official implementation for What matters for Representation Alignment: Global Information or Spatial Structure?☆128Updated last week
- Empowering Unified MLLM with Multi-granular Visual Generation☆130Updated 11 months ago
- ☆211Updated 10 months ago
- Pytorch implementation for the paper titled "SimpleAR: Pushing the Frontier of Autoregressive Visual Generation"☆422Updated 6 months ago
- EVE Series: Encoder-Free Vision-Language Models from BAAI☆362Updated 5 months ago