| Freenet: Multi-identity face reenactment J Zhang, X Zeng, M Wang, Y Pan, L Liu, Y Liu, Y Ding, C Fan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 184* | 2020 |
| Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation Z Zhao, W Liu, X Chen, X Zeng, R Wang, P Cheng, B Fu, T Chen, G Yu, ... Advances in neural information processing systems 36, 73969-73982, 2023 | 171 | 2023 |
| Semantic graph based place recognition for 3d point clouds X Kong, X Yang, G Zhai, X Zhao, X Zeng, M Wang, Y Liu, W Li, F Wen 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 168 | 2020 |
| Step1x-edit: A practical framework for general image editing S Liu, Y Han, P Xing, F Yin, R Wang, W Cheng, J Liao, Y Wang, H Fu, ... arXiv preprint arXiv:2504.17761, 2025 | 128 | 2025 |
| Paint3d: Paint anything 3d with lighting-less texture diffusion models X Zeng, X Chen, Z Qi, W Liu, Z Zhao, Z Wang, B Fu, Y Liu, G Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 108 | 2024 |
| Step-video-t2v technical report: The practice, challenges, and future of video foundation model G Ma, H Huang, K Yan, L Chen, N Duan, S Yin, C Wan, R Ming, X Song, ... arXiv preprint arXiv:2502.10248, 2025 | 98 | 2025 |
| Meshxl: Neural coordinate field for generative 3d foundation models S Chen, X Chen, A Pang, X Zeng, W Cheng, Y Fu, F Yin, B Wang, J Yu, ... Advances in Neural Information Processing Systems 37, 97141-97166, 2024 | 76 | 2024 |
| Designing one unified framework for high-fidelity face reenactment and swapping C Xu, J Zhang, Y Han, G Tian, X Zeng, Y Tai, Y Wang, C Wang, Y Liu European conference on computer vision, 54-71, 2022 | 61 | 2022 |
| Realistic face reenactment via self-supervised disentangling of identity and pose X Zeng, Y Pan, M Wang, J Zhang, Y Liu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12757 …, 2020 | 50 | 2020 |
| A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs J Chen, L Liu, Y Liu, X Zeng IEEE transactions on neural networks and learning systems 32 (3), 1067-1081, 2020 | 42 | 2020 |
| Pruning by training: A novel deep neural network compression framework for image processing G Tian, J Chen, X Zeng, Y Liu IEEE Signal Processing Letters 28, 344-348, 2021 | 39 | 2021 |
| Omnisvg: A unified scalable vector graphics generation model Y Yang, W Cheng, S Chen, X Zeng, F Yin, J Zhang, L Wang, G Yu, X Ma, ... The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 | 21 | 2025 |
| KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models Y Wu, Z Li, X Hu, X Ye, X Zeng, G Yu, W Zhu, B Schiele, MH Yang, X Yang arXiv preprint arXiv:2505.16707, 2025 | 19 | 2025 |
| Adding before pruning: Sparse filter fusion for deep convolutional neural networks via auxiliary attention G Tian, Y Sun, Y Liu, X Zeng, M Wang, Y Liu, J Zhang, J Chen IEEE Transactions on Neural Networks and Learning Systems, 2021 | 19 | 2021 |
| Mvpaint: Synchronized multi-view diffusion for painting anything 3d W Cheng, J Mu, X Zeng, X Chen, A Pang, C Zhang, Z Wang, B Fu, G Yu, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 585-594, 2025 | 17 | 2025 |
| Nextstep-1: Toward autoregressive image generation with continuous tokens at scale NS Team, C Han, G Li, J Wu, Q Sun, Y Cai, Y Peng, Z Ge, D Zhou, H Tang, ... arXiv preprint arXiv:2508.10711, 2025 | 14 | 2025 |
| Real-time audio-guided multi-face reenactment J Zhang, X Zeng, C Xu, Y Liu IEEE Signal Processing Letters 29, 1-5, 2021 | 14 | 2021 |
| OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation J Chang, Y Fang, P Xing, S Wu, W Cheng, R Wang, X Zeng, G Yu, ... arXiv preprint arXiv:2506.07977, 2025 | 13 | 2025 |
| Step-video-ti2v technical report: A state-of-the-art text-driven image-to-video generation model H Huang, G Ma, N Duan, X Chen, C Wan, R Ming, T Wang, B Wang, Z Lu, ... arXiv preprint arXiv:2503.11251, 2025 | 13 | 2025 |
| Favor-bench: A comprehensive benchmark for fine-grained video motion understanding C Tu, L Zhang, P Chen, P Ye, X Zeng, W Cheng, G Yu, T Chen arXiv preprint arXiv:2503.14935, 2025 | 11 | 2025 |
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