Shangzhe Wu
University Assistant Professor in Machine Intelligence
Builds data-driven methods for modelling the dynamic 3D world from images, videos and audio, at the intersection of 3D computer vision, graphics and generative AI.
Shangzhe Wu's lab at Cambridge works on 3D vision & neural rendering, video understanding and generative & foundation models. 27 papers since 2023, 21 at top venues, mostly CVPR and ECCV. 4 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 78%
- PhD students
- 4
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 11 papers2026 · T1 8 · collecting
- 6 papers2025 · T1 5
- 6 papers2024 · T1 5
- 4 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, ECCV, NeurIPS, 3DV, ICLR
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering3 papers
- Video understanding3 papers
- videos3 papers
- Generative & foundation models2 papers
- data-driven methods0 papers
Paper list
From the lab homepage.
202611 papers
- NeurIPS (T1)Articraft: An Agentic System for Scalable Articulated 3D Asset Generation
- CVPR (T1)Choreographing a World of Dynamic Objects
- ECCV (T1)Flow4R: Unifying 4D Reconstruction and Tracking with Scene Flow
- CogSciHow do people watch AI-generated videos of physical scenes?
- NeurIPS (T1)Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control
- ECCV (T1)Kirin: Animal Motion Generation from In-the-Wild Video
- CVPR (T1)NeuROK: Generative 4D Neural Object Kinematics
- CVPR (T1)Particulate: Feed-Forward 3D Object Articulation
- ICLR WorkshopRigidBench: Evaluating Rigid-Body Physics in Video Generation Models
- CVPR FindingsScene-Level Heterogeneous Physics Simulation with 3D Gaussian Splats
- ECCV (T1)SK-Adapter: Skeleton-Based Structural Control for Native 3D Generation
20256 papers
- SIGGRAPH (T1)Anymate: A Dataset and Baselines for Learning 3D Object Rigging
- CVPR (T1)Birth and Death of a Rose
- CVPR (T1)Category-Agnostic Neural Object Rigging
- CVPR (T1)DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction
- CVPR (T1)The Scene Language: Representing Scenes with Programs, Words, and Embeddings
- NeurIPS Datasets and Benchmarks TrackWeb-Scale Collection of Video Data for 4D Animal Reconstruction
20246 papers
- 3DVFarm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
- CVPR (T1)Hearing Anything Anywhere
- CVPR (T1)IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM
- ICLR (T1)Language-Informed Visual Concept Learning
- CVPR (T1)Learning the 3D Fauna of the Web
- ECCV (T1)Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos
20234 papers
- IJCV (T1)DOVE: Learning Deformable 3D Objects by Watching Videos
- CVPR (T1)MagicPony: Learning Articulated 3D Animals in the Wild
- CVPR (T1)Seeing a Rose in Five Thousand Ways
- NeurIPS Datasets and Benchmarks TrackStanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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Data
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- The alumni list could not be found on the lab site.
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- Members
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Tiers are venue classifications, not lab rankings.
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