Guocheng Qian

According to our database, Guocheng Qian authored at least 36 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

EasyV2V: A High-quality Instruction-based Video Editing Framework.

Jinjie Mai, Chaoyang Wang, Guocheng Gordon Qian, Willi Menapace, Sergey Tulyakov, Bernard Ghanem, Peter Wonka, Ashkan Mirzaei

CoRR, December, 2025

Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization.

Tsai-Shien Chen, Aliaksandr Siarohin, Guocheng Gordon Qian, Kuan-Chieh Jackson Wang, Egor Nemchinov, Moayed Haji-Ali, Riza Alp Güler, Willi Menapace, Ivan Skorokhodov, Anil Kag, Jun-Yan Zhu, Sergey Tulyakov

CoRR, December, 2025

Canvas-to-Image: Compositional Image Generation with Multimodal Controls.

Yusuf Dalva, Guocheng Gordon Qian, Maya Goldenberg, Tsai-Shien Chen, Kfir Aberman, Sergey Tulyakov, Pinar Yanardag, Kuan-Chieh Jackson Wang

CoRR, November, 2025

Preventing Shortcuts in Adapter Training via Providing the Shortcuts.

Anujraaj Goyal, Guocheng Gordon Qian, Huseyin Coskun, Aarush Gupta, Himmy Tam, Daniil Ostashev, Ju Hu, Dhritiman Sagar, Sergey Tulyakov, Kfir Aberman, Kuan-Chieh Jackson Wang

CoRR, October, 2025

LayerComposer: Interactive Personalized T2I via Spatially-Aware Layered Canvas.

Guocheng Gordon Qian, Ruihang Zhang, Tsai-Shien Chen, Yusuf Dalva, Anujraaj Goyal, Willi Menapace, Ivan Skorokhodov, Meng Dong, Arpit Sahni, Daniil Ostashev, Ju Hu, Sergey Tulyakov, Kuan-Chieh Jackson Wang

CoRR, October, 2025

ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generation.

Guocheng Gordon Qian, Daniil Ostashev, Egor Nemchinov, Avihay Assouline, Sergey Tulyakov, Kuan-Chieh Jackson Wang, Kfir Aberman

CoRR, September, 2025

DELTAv2: Accelerating Dense 3D Tracking.

Tuan Duc Ngo, Ashkan Mirzaei, Guocheng Qian, Hanwen Liang, Chuang Gan, Evangelos Kalogerakis, Peter Wonka, Chaoyang Wang

CoRR, August, 2025

ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generation.

Guocheng Qian, Daniil Ostashev, Egor Nemchinov, Sergey Tulyakov, Kuan-Chieh Jackson Wang, Kfir Aberman

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Preventing Shortcuts in Adapter Training via Providing the Shortcuts.

Anujraaj Goyal, Guocheng Qian, Huseyin Coskun, Aarush Gupta, Himmy Tam, Daniil Ostashev, Ju Hu, Dhritiman Sagar, Sergey Tulyakov, Kfir Aberman, Kuan-Chieh Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models.

Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Omni-ID: Holistic Identity Representation Designed for Generative Tasks.

Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Wonderland: Navigating 3D Scenes from a Single Image.

Hanwen Liang, Junli Cao, Vidit Goel, Guocheng Qian, Sergei Korolev, Demetri Terzopoulos, Konstantinos N. Plataniotis, Sergey Tulyakov, Jian Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers.

Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SPAD : Spatially Aware Multiview Diffusers.

Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin

CoRR, 2024

AToM: Amortized Text-to-Mesh using 2D Diffusion.

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

CoRR, 2024

Diffusion Priors for Dynamic View Synthesis from Monocular Videos.

Chaoyang Wang, Peiye Zhuang, Aliaksandr Siarohin, Junli Cao, Guocheng Qian, Hsin-Ying Lee, Sergey Tulyakov

CoRR, 2024

Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.

Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation.

Tianyu Zhang, Guocheng Qian, Jin Xie, Jian Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks.

Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2024, 2024

SPAD: Spatially Aware Multi-View Diffusers.

Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering.

Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dr²Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning.

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding.

Guocheng Qian, Abdullah Hamdi, Xingdi Zhang, Bernard Ghanem

Proceedings of the International Conference on 3D Vision, 2024

2023

DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions.

Guohao Li, Chenxin Xiong, Guocheng Qian, Ali K. Thabet, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

DeepGCNs: Making GCNs Go as Deep as CNNs.

Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Exploring Open-Vocabulary Semantic Segmentation without Human Labels.

Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana

CoRR, 2023

Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only.

Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding.

Guocheng Qian, Xingdi Zhang, Abdullah Hamdi, Bernard Ghanem

CoRR, 2022

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies.

Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline.

Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren

Proceedings of the IEEE International Conference on Computational Photography, 2022

When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search.

Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning.

Guocheng Qian, Hasan Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks.

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

SGAS: Sequential Greedy Architecture Search.

Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.

Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin

CoRR, 2019