ChengShiest / Vision-Function-LayerLinks
[NeurIPS 2025] The official PyTorch implementation of the "Vision Function Layer in MLLM".
☆21Updated this week
Alternatives and similar repositories for Vision-Function-Layer
Users that are interested in Vision-Function-Layer are comparing it to the libraries listed below
Sorting:
- [EMNLP 2025 Main] Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models☆44Updated this week
- [CVPR 2025 Highlight] Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding☆51Updated 3 months ago
- [CVPR 2025] Adaptive Keyframe Sampling for Long Video Understanding☆148Updated 3 months ago
- [CVPR 2025] Official PyTorch Implementation of GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmenta…☆64Updated 5 months ago
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆134Updated 9 months ago
- Official PyTorch Code of ReKV (ICLR'25)☆78Updated last month
- [ACL 2025] PruneVid: Visual Token Pruning for Efficient Video Large Language Models☆63Updated 7 months ago
- [ACM MM 2025] TimeChat-online: 80% Visual Tokens are Naturally Redundant in Streaming Videos☆101Updated last week
- [NeurIPS2024] Repo for the paper `ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models'☆202Updated 5 months ago
- [ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models☆107Updated last year
- [ICLR'25] Reconstructive Visual Instruction Tuning☆132Updated 8 months ago
- [CVPR 2025 🔥]A Large Multimodal Model for Pixel-Level Visual Grounding in Videos☆93Updated 8 months ago
- Survey: https://arxiv.org/pdf/2507.20198☆243Updated last month
- ☆133Updated 9 months ago
- [ICLR 2025] See What You Are Told: Visual Attention Sink in Large Multimodal Models☆79Updated 10 months ago
- This is a collection of recent papers on reasoning in video generation models.☆83Updated last week
- Official repository of 'ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing’☆59Updated 5 months ago
- MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer☆49Updated last year
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆93Updated 3 weeks ago
- The official code of "Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning"☆71Updated 2 months ago
- 🔥CVPR 2025 Multimodal Large Language Models Paper List☆153Updated 9 months ago
- code for the paper "CoReS: Orchestrating the Dance of Reasoning and Segmentation"☆20Updated 3 weeks ago
- [ICCV 2025] ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models☆43Updated 5 months ago
- A framework for unified personalized model, achieving mutual enhancement between personalized understanding and generation. Demonstrating…☆127Updated 2 months ago
- [CVPR 2025] RAP: Retrieval-Augmented Personalization☆76Updated 3 weeks ago
- TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation☆235Updated 4 months ago
- Official repo for "Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge" ICLR2025☆91Updated 9 months ago
- Universal Video Temporal Grounding with Generative Multi-modal Large Language Models☆40Updated 3 weeks ago
- [CVPR 2025] FLAIR: VLM with Fine-grained Language-informed Image Representations☆125Updated 3 months ago
- [CVPR 2025] LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding☆81Updated 5 months ago