Overview

Vision encoders represent images and video as patch or frame tokens, and long token sequences can make multimodal models costly to run, especially during prefill and memory-intensive video reasoning. Methods include training-free pruning and merging, learned resamplers, quantization and codecs, and adaptive token budgets guided by text queries, spatial structure, or temporal redundancy. They are evaluated on tasks such as visual question answering, video understanding, OCR, segmentation, retrieval, generation, and robot control. The central tension is that fewer tokens do not always mean faster end-to-end inference, and aggressive compression can discard details needed for a particular question or task.

Latest papers

CardsList

271 papers46 papers in the last four weeks, up 229% on the four weeks before. 0.3% of all new papers.

  1. Geometry-Guided 3D Visual Token Pruning for Video-Language Models

    Apr 20, 2026Han Li, Zehao Huang, Jiahui Fu +2Visual Token PruningVisual Token Compression

  2. StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compression

    Apr 16, 2026Xuanyi Liu, Chunan Yu, Deyi Ji +63D ViTsStreaming 3D Reconstruction

  3. Revisiting Token Compression for Accelerating ViT-based Sparse Multi-View 3D Object Detectors

    Apr 16, 2026Mingqian Ji, Shanshan Zhang, Jian YangMulti-View 3D Object DetectionEfficient ViTs

  4. UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing

    Apr 15, 2026Yunkai Dang, Minxin Dai, Yuekun Yang +4Visual Token CompressionRemote Sensing Image Understanding

  5. MaMe & MaRe: Matrix-Based Token Merging and Restoration for Efficient Visual Perception and Synthesis

    Apr 15, 2026Simin Huo, Ning LiVisual Token MergingVisual Token Compression

  6. POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs

    Apr 13, 2026Haicheng Wang, Yuan Liu, Yikun Liu +9Multimodal Large Language ModelsLong-Context VLMs

  7. Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding

    Apr 13, 2026Yueying Li, Fengxiang Wang, Yan Li +3Visual Token CompressionEfficient VLM Inference

  8. Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval

    Apr 11, 2026Yibo Yan, Mingdong Ou, Yi Cao +5Visual Document RetrievalMulti-Vector Retrieval

  9. UIPress: Bringing Optical Token Compression to UI-to-Code Generation

    Apr 10, 2026Dasen Dai, Shuoqi Li, Ronghao Chen +3Token CompressionVisual Token Compression

  10. Do Vision Language Models Need to Process Image Tokens?

    Apr 10, 2026Sambit Ghosh, R. Venkatesh Babu, Chirag AgarwalVision-Language ModelsVLM Reasoning

  11. EPIR: An Efficient Patch Tokenization, Integration and Representation Framework for Micro-expression Recognition

    Apr 9, 2026Junbo Wang, Liangyu Fu, Yuke Li +3Micro-Expression RecognitionFacial Expression Recognition

  12. TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders

    Apr 8, 2026Teng Li, Ziyuan Huang, Cong Chen +5AutoencodersVisual Token Compression

  13. RCP: Representation Consistency Pruner for Mitigating Distribution Shift in Large Vision-Language Models

    Apr 4, 2026Jianwei Zhang, Chaoning Zhang, Sihan Cao +7Efficient VLM InferenceLarge Vision-Language Models

  14. KiToke: Distribution-Aware Token Compression for Video Large Language Models

    Apr 3, 2026Haifeng Huang, Biyin Xu, Yang LiVideo Token CompressionVisual Token Compression

  15. Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies

    Mar 30, 2026Surendra Pathak, Bo HanEfficient VLM InferenceVisual Token Compression

  16. Semantic-Aware Prefix Learning for Token-Efficient Image Generation

    Mar 26, 2026Qingfeng Li, Haoxian Zhang, Xu He +4Visual TokenizationVisual Token Compression

  17. Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

    Mar 26, 2026Chengyu Fang, Heng Guo, Zheng Jiang +3Medical VLMs3D VLMs

  18. Rethinking Token Reduction for Large Vision-Language Models

    Mar 23, 2026Yi Wang, Haofei Zhang, Qihan Huang +7Efficient VLM InferenceVisual Token Compression

  19. QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression

    Mar 22, 2026Zhongyang Li, Yaqian Li, Faming Fang +6Multimodal Token CompressionVisual Token Compression

  20. CurveStream: Boosting Streaming Video Understanding in MLLMs via Curvature-Aware Hierarchical Visual Memory Management

    Mar 20, 2026Chao Wang, Xudong Tan, Jianjian Cao +2Streaming Video UnderstandingMemory-Augmented Video Understanding

  21. STAC: Plug-and-Play Spatio-Temporal Aware Cache Compression for Streaming 3D Reconstruction

    Mar 18, 2026Runze Wang, Yuxuan Song, Youcheng Cai +1Streaming 3D ReconstructionKV-Cache Compression

  22. InViC: Intent-aware Visual Cues for Medical Visual Question Answering

    Mar 17, 2026Zhisong Wang, Ziyang Chen, Zanting Ye +3Medical VQAMedical VLMs

  23. Question-guided Visual Compression with Memory Feedback for Long-Term Video Understanding

    Mar 16, 2026Sosuke Yamao, Natsuki Miyahara, Yuankai Qi +1Long-Video UnderstandingTemporal Video Understanding

  24. Balancing Saliency and Coverage: Semantic Prominence-Aware Budgeting for Visual Token Compression in VLMs

    Mar 16, 2026Jaehoon Lee, Mingi Jung, Soohyuk Jang +3Efficient VLM InferenceVisual Token Pruning