Chenjie Cao ζΉθΎ°ζ·
Researcher at Tencent Hunyuan3D. Ph.D. from Fudan University supervised by
Prof. Yanwei Fu.
Research interests span image inpainting & synthesis,
multi-view stereo, 3D reconstruction & generation,
and video generation.
Visitors:
Experience
2025.7 β present
Researcher, Tencent Hunyuan3D
2024.1 β 2025.7
Researcher, DAMO Academy, Alibaba Group
2024 β present
Post-doc, Computer Science and Technology, Fudan University
2020 β 2024
Ph.D. in Statistics (Machine Learning), Fudan University
2019 β 2020
Algorithm Engineer, PingAn OneConnect
2016 β 2019
M.Sc. in Computer Science, ECUST
2012 β 2016
B.Sc. in Computer Science, ECUST
Publications
* denotes equal contribution
2026
CVPR 2026
A novel framework that bridges camera-guided video generation and 3D reconstruction via global-geometric memory and spatial-stereo memory.
Arxiv 2026
A novel RL post-training framework for long-horizon, interactive video-based world models.
AAAI 2026 Oral
A geographic 3D generation framework for extremely large-scale 3D generation, with the largest 3D aerial dataset (50k scenes, 45M frames).
2025
SIGGRAPH Asia 2025
A unified 3D-enhanced framework for precise control of both camera and human motion in video generation via PCDController and SMPL-X integration.
ICCV 2025
Rethinking LoRA fusion through linear scalability, orthogonality, and norm consistency for video control.
CVPR 2025
A multi-view diffusion model enhanced with 3D priors warped using metric depth and camera poses for versatile Novel View Synthesis.
CVPR 2025 Highlight
Leveraging MAE priors to stabilize StableDiffusion/FLUX inpainting with an effective augmentation strategy to eliminate chromatic aberration.
2024
NeurIPS 2024
Re-formulating 3D editing as a multi-view 2D inpainting task with reference guidance.
NeurIPS 2024
A framework for animating any static 3D model with a large-scale multi-view video dataset (MV-Video).
ECCV 2024
A Variance alignment based 3D-2D Collaborative Denoising framework for texture synthesis.
ECCV 2024
An efficient sparse-controlled video-to-4D framework that decouples motion and appearance.
ECCV 2024
Comprehensively exploring multi-view feature priors from seven pretext visual tasks to strengthen Neural Surface Reconstruction.
CVPR 2024
Formulating reference-guided multi-view synthesis as contextual inpainting via prompt tuning on pre-trained T2I models.
TMLR 2024
A single diffusion generative model addressing various sub-tasks with task-specific prompts.
ICLR 2024
Prudently maximizing the inherent characteristics of attention to enhance various components of the MVS pipeline.
2023
ICCV 2023
A transformer-based cascaded matching model with NMS filter for spatially informative keypoint matching.
ACM MM 2023
A Siamese network with a reciprocal loss for inlier/outlier classification in two-view matching.
TPAMI 2023
Extension of ZITS with learning-based edges (L-Edge) as new priors to enhance meaningful structure recovery.
CVPR 2023
Improving optical flow estimation through image matching pre-text task.
TMLR 2023
Pre-trained ViTs for MVS with unified classification and regression depth predictions. 1st on Tanks-and-Temples, 2nd on GigaMVS 2022.
2022
ECCV 2022
Image inpainting with Masked AutoEncoder pre-training and attention-based restoration.
CVPR 2022
Learning structural priors (lines, edges) with transformers, then recovering textures with FFC-based CNNs.
TPAMI 2022
Extension of P2M++ that also works on SDF-based methods.
ICASSP 2022
Leveraging GAN inversion and differentiable edge detection for effective face editing.
2021
NeurIPS 2021
Local autoregressive model for local editing with two-stream convolution to tackle information leakage.
ICCV 2021
First work to introduce segment lines to improve image inpainting.
2020 & Earlier
COLING 2020
A comprehensive Chinese NLP benchmark.
TNNLS 2020
Ensemble learning approach to address imbalanced problems.
LREC 2020
Improving BERT pre-training with Sentence Insertion. 1st place of CMRC2019.
Neural Networks 2019
Ensemble learning for imbalanced problems.
KBS 2018
Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems.
ASC 2018
Using SVDD to address imbalanced problems.
Preprint
Preprint
First introduction of wavelet prior for image inpainting with axial-transformer for face/structural recovery.
Miscellaneous
- π Second Place in GigaReconstruction 2022.
- π Reviewer for TPAMI, IJCV, ACM MM, CVPR, NeurIPS, ICML, ICLR.
- π Tutorial: The Priors Guided Image Editing and Synthesis at ACCV 2022 (w/ Yanwei Fu, Shenghua Gao, Qiaole Dong).