Tat-Jen Cham
Professor
Works on computer vision and machine learning, currently focusing on generative AI synthesis methods that exploit semantic and contextual cues.
Tat-Jen Cham's lab at NTU works on generative & foundation models, data management & big data and speech synthesis & voice. 19 papers since 2023, 13 at top venues, mostly ICLR and CVPR.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 68%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 4
- 8 papers2024 · T1 6
- 3 papers2023 · T1 3
T1 venuesOtherVenues: ICLR, CVPR, ECCV, NeurIPS, ICCV
Research focuspaper titles that use each topic's words
- Speech synthesis & voice1 paper
- Generative & foundation models0 papers
- Data management & big data0 papers
- currently0 papers
- exploit0 papers
Paper list
From the lab homepage.
20258 papers
- ICCV (T1)Amodal3R: Amodal 3D reconstruction from occluded 2D images
- IEEE T-SMCD-LORD for motion stylization
- ICIPDiffusion pretraining for gait recognition in the wild
- IEEE T-PAMIExplicit correspondence matching for generalizable neural radiance fields
- CVPR (T1)Gazing at rewards: eye movements as a lens into human and AI decision-making in hybrid visual foraging
- IEEE T-MMOne-shot human motion transfer via occlusion-robust flow prediction and neural texturing
- ICLR (T1)Semantix: an energy-guided sampler for semantic style transfer
- ICLR (T1)TSC-Net: prediction of pedestrian trajectories by trajectory-scene-cell classification
20248 papers
- ECCV (T1)3iGS: factorised tensorial illumination for 3D Gaussian splatting
- IEEE T-PAMIBridging global context interactions for high-fidelity pluralistic image completion
- ECCV (T1)ClusteringSDF: Self-organized neural implicit surfaces for 3D decomposition
- CAIImitating human joystick control ability using style and content disentanglement
- ECCV (T1)MVSplat: Efficient 3D Gaussian splatting from sparse multi-view images
- NeurIPS (T1)MVSplat360: Feed-forward 360 scene synthesis from sparse views
- CVPR (T1)One More Step: A versatile plug-and-play module for rectifying diffusion schedule flaws and enhancing low-frequency controls
- ICLR (T1)PanoDiffusion: 360-degree panorama outpainting via diffusion
20233 papers
- CVPR (T1)ABLE-NeRF: attention-based rendering with learnable embeddings for neural radiance field
- NeurIPS (T1)Cocktail: Mixing multi-modality controls for text-conditional image generation
- ICLR (T1)UniD3: Unified discrete diffusion for simultaneous vision-language generation
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
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