Yiyi Liao
特聘研究员
Leads the X-D Lab on 3D scene representation, neural rendering and 3D reconstruction for computer vision.
Yiyi Liao's lab at Zhejiang works on 3D vision & neural rendering, generative 3D & visual content and rendering & appearance. 32 papers since 2023, 26 at top venues, mostly CVPR and ICCV. 6 PhD students and 6 master's students. 5 alumni. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 81%
- PhD students
- 6
- MS students
- 6
- alumni listed
- 5
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 4 · collecting
- 12 papers2025 · T1 10
- 8 papers2024 · T1 6
- 7 papers2023 · T1 6
T1 venuesOtherVenues: CVPR, ICCV, ECCV, TPAMI, RA-L
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering12 papers
- Generative 3D & visual content4 papers
- Rendering & appearance2 papers
- neural rendering0 papers
- isee0 papers
Paper list
From the lab homepage.
20265 papers
- CVPR (T1)Gen3R: 3D Scene Generation Meets Feed-Forward Reconstruction
- ICLR (T1)InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
- CVPR (T1)PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes
- ACM SIGGRAPH Conference TrackReRoPE: Repurposing RoPE for Relative Camera Control
- CVPR (T1)ScenDi: 3D-to-2D Scene Diffusion Cascades for Urban Generation
202512 papers
- CVPR (T1)EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis
- CVPR (T1)GIFStream: 4D Gaussian-based Immersive Video with Feature Stream
- TCSVTGSCodec Studio: A Modular Framework for Gaussian Splat Compression
- TPAMI (T1)HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving
- CVPR (T1)Learning temporally consistent video depth from video diffusion priors
- NeurIPS (T1)Orientation Matters: Making 3D Generative Models Orientation-Aligned
- TPAMI (T1)PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
- CVPR (T1)Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation
- Computational Visual Media JournalTowards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation
- CVPR (T1)UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation
- TPAMI (T1)UrbanGen: Urban Generation with Compositional and Controllable Neural Fields
- ICCV (T1)Vivid4D: Improving 4D Reconstruction from Monocular Video by Video Inpainting
20248 papers
- RA-LDORec: Decomposed Object Reconstruction and Segmentation Utilizing 2D Self-Supervised Features
- ECCV (T1)EDUS: Efficient Depth-Guided Urban View Synthesis
- CVPR (T1)HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
- CVPR (T1)NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
- ICRA (T1)NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System
- State-of-the-Art Report at EUROGRAPHICSRecent Trends in 3D Reconstruction of General Non-Rigid Scenes
- ECCV (T1)REFRAME: REFlective Surface ReAl-Time Rendering for MobilE Devices
- ECCV (T1)TeFF: Learning 3D-Aware GANs from Unposed Images with Template Feature Field
20237 papers
- CVPR (T1)Learning 3D-aware Image Synthesis with Unknown Pose Distribution
- RA-LNF-Atlas: Multi-Volume Neural Feature Fields for Large Scale LiDAR Mapping
- CVPR (T1)Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask
- ICCV (T1)RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
- CVPR (T1)SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
- ICCV (T1)UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
- ICCV (T1)VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
Where alumni went5 listed
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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