Publications

Hanwen Liang, Junli Cao, Vidit Goel, Guocheng Qian, Sergei Korolev, Demetri Terzopoulos, Konstantinos N. Plataniotis, Sergey Tulyakov, Jian Ren (2024). Wonderland: Navigating 3D Scenes from a Single Image. arXiv'24.

Preprint Project

Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman (2024). Omni-ID: Holistic Identity Representation Designed for Generative Tasks. arXiv'24.

Preprint Project

Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov (2024). AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers. arXiv'24.

Preprint Project

Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov (2024). AToM: Amortized Text-to-Mesh using 2D Diffusion. arXiv'24.

Preprint Code Project

Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem (2024). Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors. ICLR'24.

Preprint Code Project

Guocheng Qian, Abdullah Hamdi, Xingdi Zhang, Bernard Ghanem (2023). Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding. 3DV'24.

Preprint Code

Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana (2023). Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. ICCV'23.

Preprint Code

Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem (2022). PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies. NeurIPS'22.

Preprint Code

Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren (2022). Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline. ICCP'2022.

Preprint Code Dataset

Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem (2021). ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. NeurIPS'21, Spotlight.

Preprint Code

Guocheng Qian*, Guohao Li*, Matthias Müller*, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem (2021). DeepGCNs: Making GCNs Go as Deep as CNNs. TPAMI'2021.

Preprint Code Project Slides Video

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem (2021). PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. CVPR'2021.

Preprint Code Dataset Project Video

Guocheng Qian*, Guohao Li*, Itzel C. Delgadillo*, Matthias Müller, Ali Thabet, Bernard Ghanem (2020). SGAS: Sequential Greedy Architecture Search. CVPR'2020.

Preprint PDF Code Project Slides Video