Xiao, Xuefeng

31 publications

ICCV 2025 Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Yanzuo Lu, Yuxi Ren, Xin Xia, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
NeurIPS 2025 Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation Shanchuan Lin, Ceyuan Yang, Hao He, Jianwen Jiang, Yuxi Ren, Xin Xia, Yang Zhao, Xuefeng Xiao, Lu Jiang
ICCV 2025 Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation Youwei Zheng, Yuxi Ren, Xin Xia, Xuefeng Xiao, Xiaohua Xie
ICML 2025 Diffusion Adversarial Post-Training for One-Step Video Generation Shanchuan Lin, Xin Xia, Yuxi Ren, Ceyuan Yang, Xuefeng Xiao, Lu Jiang
ICLR 2025 IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model Yatai Ji, Shilong Zhang, Jie Wu, Peize Sun, Weifeng Chen, Xuefeng Xiao, Sidi Yang, Yujiu Yang, Ping Luo
NeurIPS 2025 LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process Huiyang Shao, Xin Xia, Yuxi Ren, Xing Wang, Xuefeng Xiao
NeurIPS 2025 PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, SiQi Chen, Hongyu Zhu, Zhang Yichong, Yu Wang
ICML 2025 Polybasic Speculative Decoding Through a Theoretical Perspective Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji
ICCV 2025 Prompt-a-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM Yatai Ji, Jiacheng Zhang, Jie Wu, Shilong Zhang, Shoufa Chen, Chongjian Ge, Peize Sun, Weifeng Chen, Wenqi Shao, Xuefeng Xiao, Weilin Huang, Ping Luo
CVPR 2025 RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories Huiyang Shao, Xin Xia, Yuhong Yang, Yuxi Ren, Xing Wang, Xuefeng Xiao
AAAI 2025 ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Shilei Wen, Lean Fu
ICCV 2025 Training-Free and Adaptive Sparse Attention for Efficient Long Video Generation Yifei Xia, Suhan Ling, Fangcheng Fu, Yujie Wang, Huixia Li, Xuefeng Xiao, Bin Cui
NeurIPS 2025 VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching Huiyang Shao, Xin Xia, Yuxi Ren, Xing Wang, Xuefeng Xiao
ICLR 2024 AffineQuant: Affine Transformation Quantization for Large Language Models Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
ECCV 2024 ByteEdit: Boost, Comply and Accelerate Generative Image Editing Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu
ECCV 2024 ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen
NeurIPS 2024 Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao
ICML 2024 Outlier-Aware Slicing for Post-Training Quantization in Vision Transformer Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
NeurIPS 2024 UniFL: Improve Latent Diffusion Model via Unified Feedback Learning Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li
ICCV 2023 AlignDet: Aligning Pre-Training and Fine-Tuning in Object Detection Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan
ICCV 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji
CVPR 2023 FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang
CVPR 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji
ICCV 2023 UGC: Unified GAN Compression for Efficient Image-to-Image Translation Yuxi Ren, Jie Wu, Peng Zhang, Manlin Zhang, Xuefeng Xiao, Qian He, Rui Wang, Min Zheng, Xin Pan
AAAI 2022 Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang
ECCV 2022 Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang
WACV 2022 Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search Xin Xia, Xuefeng Xiao, Xing Wang, Min Zheng
ECCV 2022 ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li
CVPRW 2021 Box-Level Tube Tracking and Refinement for Vehicles Anomaly Detection Jie Wu, Xionghui Wang, Xuefeng Xiao, Yitong Wang
ICCV 2021 Online Multi-Granularity Distillation for GAN Compression Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang
NeurIPS 2021 Revisiting Discriminator in GAN Compression: A Generator-Discriminator Cooperative Compression Scheme Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji