Xinlong Wang

Xinlong Wang on Hugging Face Daily Papers: 19 papers, 11 in the top 3 of their day, 803 upvotes.

  1. Emu3.5: Native Multimodal Models are World Learners 102 upvotes, #2 of 2025-10-31
  2. Uniform Discrete Diffusion with Metric Path for Video Generation 39 upvotes, #6 of 2025-10-29
  3. Unified Vision-Language-Action Model 21 upvotes, #9 of 2025-06-25
  4. OmniGen2: Exploration to Advanced Multimodal Generation 68 upvotes, #2 of 2025-06-24
  5. End-to-End Vision Tokenizer Tuning 20 upvotes, #8 of 2025-05-16
  6. EVEv2: Improved Baselines for Encoder-Free Vision-Language Models 11 upvotes, #14 of 2025-02-11
  7. Autoregressive Video Generation without Vector Quantization 13 upvotes, #10 of 2024-12-19
  8. You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale 11 upvotes, #9 of 2024-12-10
  9. Emu3: Next-Token Prediction is All You Need 75 upvotes, #1 of 2024-09-30
  10. Diffusion Feedback Helps CLIP See Better 33 upvotes, #8 of 2024-07-30
  11. DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception 17 upvotes, #10 of 2024-07-12
  12. Unveiling Encoder-Free Vision-Language Models 45 upvotes, #1 of 2024-07-08
  13. EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters 31 upvotes, #3 of 2024-02-07
  14. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model 62 upvotes, #1 of 2024-01-18
  15. Generative Multimodal Models are In-Context Learners 36 upvotes, #3 of 2023-12-21
  16. CapsFusion: Rethinking Image-Text Data at Scale 27 upvotes, #2 of 2023-11-01
  17. JudgeLM: Fine-tuned Large Language Models are Scalable Judges 35 upvotes, #1 of 2023-10-27
  18. 3D-GPT: Procedural 3D Modeling with Large Language Models 61 upvotes, #1 of 2023-10-20
  19. Generative Pretraining in Multimodality 23 upvotes, #3 of 2023-07-12

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