Xinlong Wang
- Papers
- 28
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Authored papers
28UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
arXiv 2026
Uniform Discrete Diffusion with Metric Path for Video Generation
arXiv 2025
Emu3.5: Native Multimodal Models are World Learners
arXiv 2025
Unified Vision-Language-Action Model
arXiv 2025
OmniGen2: Exploration to Advanced Multimodal Generation
arXiv 2025
EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
ICCV 2025
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
arXiv 2024
Emu3: Next-Token Prediction is All You Need
arXiv 2024
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
arXiv 2024
Autoregressive Video Generation without Vector Quantization
arXiv 2024
Diffusion Feedback Helps CLIP See Better
arXiv 2024
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
arXiv 2024
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
CVPR 2025 1
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
arXiv 2024
EVA-CLIP: Improved Training Techniques for CLIP at Scale
arXiv 2023
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
arXiv 2023
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
arXiv 2023
Generative Multimodal Models are In-Context Learners
CVPR 2024 1
3D-GPT: Procedural 3D Modeling with Large Language Models
arXiv 2023
Tokenize Anything via Prompting
arXiv 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
arXiv 2023
CapsFusion: Rethinking Image-Text Data at Scale
CVPR 2024 1
SegGPT: Segmenting Everything In Context
arXiv 2023
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
arXiv 2023
Fine-Grained Visual Prompting
NeurIPS 2023 11
Poseur: Direct Human Pose Regression with Transformers
arXiv 2022
Conditional Positional Encodings for Vision Transformers
arXiv 2021
End-to-End Video Instance Segmentation with Transformers
CVPR 2021 1
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