mlsanityData to 14 Oct 2026

DiffCP: Ultra-Low Bit Collaborative Perception via Diffusion Model

arXiv 2409.19592 ↗First posted 29 Sep 2024cs.CV cs.LG cs.MAcited by 6

On the map: Diffusion models → Diffusion for compression and wireless

Abstract (arXiv)

Collaborative perception (CP) is emerging as a promising solution to the inherent limitations of stand-alone intelligence. However, current wireless communication systems are unable to support feature-level and raw-level collaborative algorithms due to their enormous bandwidth demands. In this paper, we propose DiffCP, a novel CP paradigm that utilizes a specialized diffusion model to efficiently compress the sensing information of collaborators. By incorporating both geometric and semantic conditions into the generative model, DiffCP enables feature-level collaboration with an ultra-low communication cost, advancing the practical implementation of CP systems. This paradigm can be seamlessly integrated into existing CP algorithms to enhance a wide range of downstream tasks. Through extensive experimentation, we investigate the trade-offs between communication, computation, and performance. Numerical results demonstrate that DiffCP can significantly reduce communication costs by 14.5-fold while maintaining the same performance as the state-of-the-art algorithm.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Placed in Diffusion for compression and wireless, one of 14 directions in Diffusion models. Builds on 30 of its 39 references that are in the map. First posted on arXiv 29 Sep 2024.

Builds on

30 of 39 references.

References · 30

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  3. 2020Denoising Diffusion Implicit Modelscited by 9,781
  4. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  5. 2022Scalable Diffusion Models with Transformerscited by 6,054
  6. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
  7. 2022DiffusionDet: Diffusion Model for Object Detectioncited by 354
  8. 2022V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformercited by 320
  9. 2021OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communicationcited by 304
  10. 2020V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Predictioncited by 292
  11. 2022DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detectioncited by 273
  12. 2022Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Mapscited by 255
18 more
  1. 2022CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformerscited by 227
  2. 2019F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Cloudscited by 171
  3. 2019Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Cloudscited by 165
  4. 2022V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Drivingcited by 157
  5. 2023V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perceptioncited by 155
  6. 2023DDP: Diffusion Model for Dense Visual Predictioncited by 148
  7. 2020Who2com: Collaborative Perception via Learnable Handshake Communicationcited by 127
  8. 2023Collaboration Helps Camera Overtake LiDAR in 3D Detectioncited by 81
  9. 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detectioncited by 31
  10. 2023DiffBEV: Conditional Diffusion Model for Bird's Eye View Perceptioncited by 30
  11. 2022DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingcited by 21
  12. 2024DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentationcited by 18
  13. 2022A Cooperative Perception System Robust to Localization Errorscited by 14
  14. 2023Collaborative Semantic Communication for Edge Inferencecited by 8
  15. 2024SceneSense: Diffusion Models for 3D Occupancy Synthesis from Partial Observationcited by 8
  16. 2024Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systemscited by 4
  17. 2023Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inferencecited by 2
  18. 2023Diffusion-Based Particle-DETR for BEV Perceptioncited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 1.

6 papers.

  1. 2025Diffusion Models for Future Networks and Communications: A Comprehensive Surveycited by 6
  2. 2025Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Modelscited by 4
  3. 2025JigsawComm: Joint Semantic Feature Encoding and Transmission for Communication-Efficient Cooperative Perceptioncited by 2
  4. 2025Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communicationscited by 1
  5. 2025DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limitscited by 0
  6. 2026WaveComm: Lightweight Communication for Collaborative Perception via Wavelet Feature Distillationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Diff-KD: Diffusion-based Knowledge Distillation for Collaborative Perception under Corruptions
  2. 2023UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
  3. 2025Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism
  4. 2022SNN-SC: A Spiking Semantic Communication Framework for Collaborative Intelligence
  5. 2024Communicate Less, Synthesize the Rest: Latency-aware Intent-based Generative Semantic Multicasting with Diffusion Models
  6. 2026SoM-MTM: Synesthesia of Machines (SoM)-Driven Masked Token Model for Cooperative Perception over Packet Loss Channel ↗
  7. 2023Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency
  8. 2025CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection