CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing. - Xuanhong Chen; Bingbing Ni; Naiyuan Liu; Ziang Liu 001; Yiliu Jiang; Loc Truong; Qi Tian 001 (ECCV (11), 2020)

SimSwap: An Efficient Framework For High Fidelity Face Swapping. - Renwang Chen; Xuanhong Chen; Bingbing Ni; Yanhao Ge (ACM Multimedia, 2020)

Anisotropic Stroke Control for Multiple Artists Style Transfer. - Xuanhong Chen; Xirui Yan; Naiyuan Liu; Ting Qiu; Bingbing Ni (ACM Multimedia, 2020)

Resolution Booster: Global Structure Preserving Stitching Method for Ultra-High Resolution Image Translation. - Siying Zhai; Xiwei Hu; Xuanhong Chen; Bingbing Ni; Wenjun Zhang 001 (MMM (1), 2020)

RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling. - Xuanhong Chen; Kairui Feng; Naiyuan Liu; Yifan Lu; Zhengyan Tong; Bingbing Ni; Ziang Liu 001; Ning Lin (CoRR, 2020)

Image Translation via Fine-grained Knowledge Transfer. - Xuanhong Chen; Ziang Liu 001; Ting Qiu; Bingbing Ni; Naiyuan Liu; Xiwei Hu; Yuhan Li 003 (CoRR, 2020)

Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale. - Zhengyan Tong; Xuanhong Chen; Bingbing Ni; Xiaohang Wang 004 (AAAI, 2021)

Fast Optimal Transport Artistic Style Transfer. - Ting Qiu; Bingbing Ni; Ziang Liu 001; Xuanhong Chen (MMM (1), 2021)

X-volution: On the unification of convolution and self-attention. - Xuanhong Chen; Hang Wang; Bingbing Ni (CoRR, 2021)

Bi-volution: A Static and Dynamic Coupled Filter. - Xiwei Hu; Xuanhong Chen; Bingbing Ni; Teng Li 001; Yutian Liu 004 (AAAI, 2022)

Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling. - Zhengyan Tong; Xiaohang Wang 004; Shengchao Yuan; Xuanhong Chen; Junjie Wang; Xiangzhong Fang (ACM Multimedia, 2022)

RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling. - Xuanhong Chen; Kairui Feng; Naiyuan Liu; Bingbing Ni; Yifan Lu; Zhengyan Tong; Ziang Liu 001 (NeurIPS, 2022)

Learning Continuous Depth Representation via Geometric Spatial Aggregator. - Xiaohang Wang 004; Xuanhong Chen; Bingbing Ni; Zhengyan Tong; Hang Wang (AAAI, 2023)

Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit. - Xiaohang Wang 004; Xuanhong Chen; Bingbing Ni; Hang Wang; Zhengyan Tong; Yutian Liu 004 (CVPR, 2023)

Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process. - Yuhan Li 003; Yishun Dou; Xuanhong Chen; Bingbing Ni; Yilin Sun; Yutian Liu 004; Fuzhen Wang (CVPR, 2023)

Omni Aggregation Networks for Lightweight Image Super-Resolution. - Hang Wang; Xuanhong Chen; Bingbing Ni; Yutian Liu 004; Jinfan Liu (CVPR, 2023)

Editable Image Geometric Abstraction via Neural Primitive Assembly. - Ye Chen; Bingbing Ni; Xuanhong Chen; Zhangli Hu (ICCV, 2023)

3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process. - Yuhan Li 003; Yishun Dou; Xuanhong Chen; Bingbing Ni; Yilin Sun; Yutian Liu 004; Fuzhen Wang (CoRR, 2023)

Intrinsic Phase-Preserving Networks for Depth Super Resolution. - Xuanhong Chen; Hang Wang; Jialiang Chen; Kairui Feng; Jinfan Liu; Xiaohang Wang 004; Weimin Zhang; Bingbing Ni (AAAI, 2024)

FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly. - Yuhan Li 003; Yishun Dou; Yue Shi; Yu Lei; Xuanhong Chen; Yi Zhang; Peng Zhou 010; Bingbing Ni (AAAI, 2024)

Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization. - Ye Chen; Bingbing Ni; Jinfan Liu; Xiaoyang Huang; Xuanhong Chen (CVPR, 2024)

Vector Graphics Generation via Mutually Impulsed Dual-Domain Diffusion. - Zhongyin Zhao; Ye Chen; Zhangli Hu; Xuanhong Chen; Bingbing Ni (CVPR, 2024)

Toward Tiny and High-Quality Facial Makeup with Data Amplify Learning. - Qiaoqiao Jin; Xuanhong Chen; Meiguang Jin; Ying Chen; Rui Shi; Yucheng Zheng; Yupeng Zhu; Bingbing Ni (ECCV (27), 2024)

AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario. - Yuhan Li 003; Hao Zhou; Wenxiang Shang; Ran Lin; Xuanhong Chen; Bingbing Ni (NeurIPS, 2024)

Toward Tiny and High-quality Facial Makeup with Data Amplify Learning. - Qiaoqiao Jin; Xuanhong Chen; Meiguang Jin; Ying Cheng; Rui Shi; Yucheng Zheng; Yupeng Zhu; Bingbing Ni (CoRR, 2024)

Potential Paradigm Shift in Hazard Risk Management: AI-Based Weather Forecast for Tropical Cyclone Hazards. - Kairui Feng; Dazhi Xi; Wei Ma; Cao Wang; Yuanlong Li; Xuanhong Chen (CoRR, 2024)

RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation. - Xianfeng Tan; Yuhan Li 003; Wenxiang Shang; Yubo Wu; Jian Wang; Xuanhong Chen; Yi Zhang; Ran Lin; Bingbing Ni (CoRR, 2024)

SimSwap++: Towards Faster and High-Quality Identity Swapping. - Xuanhong Chen; Bingbing Ni; Yutian Liu 004; Naiyuan Liu; Zhilin Zeng; Hang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SinGS: Animatable Single-Image Human Gaussian Splats with Kinematic Priors. - Yufan Wu; Xuanhong Chen; Wen Li; Shunran Jia; Hualiang Wei; Kairui Feng; Jialiang Chen; Yuhan Li 003; Ang He; Weimin Zhang; Bingbing Ni; Wenjun Zhang 001 (CVPR, 2025)

Large Generative Model Impulsed Lightweight Gaze Estimator via Deformable Approximate Large Kernel Pursuit. - Xuanhong Chen; Muchun Chen; Yugang Chen; Yinxin Lin; Bilian Ke; Bingbing Ni (IEEE Trans. Image Process., 2025)