Guocheng Qian

45 papers A* 15B 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers.
CVPR
Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov
2025 A* conf
ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generation.
SIGGRAPH Asia
Guocheng Qian, Daniil Ostashev, Egor Nemchinov, Sergey Tulyakov, Kuan-Chieh Jackson Wang, Kfir Aberman
2025 J jnl
DELTAv2: Accelerating Dense 3D Tracking.
CoRR
Tuan Duc Ngo, Ashkan Mirzaei, Guocheng Qian, Hanwen Liang, Chuang Gan, Evangelos Kalogerakis, Peter Wonka, Chaoyang Wang
2025 A* conf
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models.
ICML
Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu
2025 J jnl
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models.
CoRR
Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu
2025 A* conf
Omni-ID: Holistic Identity Representation Designed for Generative Tasks.
CVPR
Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman
2025 A* conf
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.
ICLR
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
2025 A* conf
Wonderland: Navigating 3D Scenes from a Single Image.
CVPR
Hanwen Liang, Junli Cao, Vidit Goel, Guocheng Qian, Sergei Korolev, Demetri Terzopoulos, Konstantinos N. Plataniotis, Sergey Tulyakov, Jian Ren
2024 J jnl
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers.
CoRR
Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov
2024 J jnl
AToM: Amortized Text-to-Mesh using 2D Diffusion.
CoRR
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 J jnl
Diffusion Priors for Dynamic View Synthesis from Monocular Videos.
CoRR
Chaoyang Wang, Peiye Zhuang, Aliaksandr Siarohin, Junli Cao, Guocheng Qian, Hsin-Ying Lee, Sergey Tulyakov
2024 A* conf
Dr
CVPR
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem
2024 J jnl
Dr
CoRR
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem
2024 — conf
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation.
ECCV (74)
Tianyu Zhang, Guocheng Qian, Jin Xie, Jian Yang
2024 J jnl
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation.
CoRR
Tianyu Zhang, Guocheng Qian, Jin Xie, Jian Yang
2024 A* conf
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering.
CVPR
Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi
2024 J jnl
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering.
CoRR
Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi
2024 A* conf
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.
ICLR
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem
2024 J jnl
Omni-ID: Holistic Identity Representation Designed for Generative Tasks.
CoRR
Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman
2024 — conf
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding.
3DV
Guocheng Qian, Abdullah Hamdi, Xingdi Zhang, Bernard Ghanem
2024 J jnl
SPAD : Spatially Aware Multiview Diffusers.
CoRR
Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin
2024 A* conf
SPAD: Spatially Aware Multi-View Diffusers.
CVPR
Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski
2024 — conf
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks.
ECCV (12)
Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem
2024 J jnl
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks.
CoRR
Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem
2024 J jnl
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.
CoRR
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
2024 J jnl
Wonderland: Navigating 3D Scenes from a Single Image.
CoRR
Hanwen Liang, Junli Cao, Vidit Goel, Guocheng Qian, Sergei Korolev, Demetri Terzopoulos, Konstantinos N. Plataniotis, Sergey Tulyakov, Jian Ren
2023 J jnl
DeepGCNs: Making GCNs Go as Deep as CNNs.
IEEE Trans. Pattern Anal. Mach. Intell.
Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem
2023 J jnl
DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions.
IEEE Trans. Pattern Anal. Mach. Intell.
Guohao Li, Chenxin Xiong, Guocheng Qian, Ali K. Thabet, Bernard Ghanem
2023 A* conf
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only.
ICCV
Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny
2023 J jnl
Exploring Open-Vocabulary Semantic Segmentation without Human Labels.
CoRR
Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana
2023 J jnl
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.
CoRR
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem
2022 J jnl
Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding.
CoRR
Guocheng Qian, Xingdi Zhang, Abdullah Hamdi, Bernard Ghanem
2022 A* conf
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies.
NeurIPS
Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem
2022 J jnl
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies.
CoRR
Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem
2022 B conf
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline.
ICCP
Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren
2022 — conf
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search.
CVPR Workshops
Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun
2022 J jnl
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search.
CoRR
Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun
2021 A* conf
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning.
NeurIPS
Guocheng Qian, Hasan Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem
2021 J jnl
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning.
CoRR
Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem
2021 A* conf
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks.
CVPR
Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem
2020 A* conf
SGAS: Sequential Greedy Architecture Search.
CVPR
Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem
2019 J jnl
DeepGCNs: Making GCNs Go as Deep as CNNs.
CoRR
Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem
2019 J jnl
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks.
CoRR
Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem
2019 J jnl
SGAS: Sequential Greedy Architecture Search.
CoRR
Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem
2019 J jnl
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.
CoRR
Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin