Xiaoyang Lyu
14 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π§ Keyword Pioneer π Cross-Pollinator (5) π Conference Polyglot (4) π Interdisciplinary Bridge
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(28)
π§
Keyword Pioneer
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Keyword Champion
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(11)
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Prolific Year
(5)
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Century Club
(14)
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Keyword Collector
(76)
Conferences
CVPR (5)
ICCV (5)
AAAI (2)
NIPS (2)
Top co-authors
Keywords
novel view synthesis
(5)
neural rendering
(4)
depth estimation
(4)
scene reconstruction
(3)
gaussian splatting
(3)
3d reconstruction
(3)
feature fusion
(2)
convolutional neural network
(2)
video generation
(2)
neural implicit surface
(2)
diffusion model
(2)
neural radiance field
(2)
signed distance function
(2)
dynamic scene
(1)
self-supervised learning
(1)
video synthesis
(1)
motion analysis
(1)
motion blur
(1)
monocular depth estimation
(1)
3d gaussian splatting
(1)
Papers
DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation
ICCV 2025
How Far are AI-generated Videos from Simulating the 3D Visual World: A Learned 3D Evaluation Approach
ICCV 2025
Deformable Radial Kernel Splatting
CVPR 2025
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
CVPR 2024
Splatter a Video: Video Gaussian Representation for Versatile Processing
NIPS 2024
Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction
CVPR 2024
Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting
NIPS 2024
EscherNet: A Generative Model for Scalable View Synthesis
CVPR 2024
Hybrid Neural Rendering for Large-Scale Scenes With Motion Blur
CVPR 2023
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
ICCV 2023
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
ICCV 2023
Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
ICCV 2023
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
AAAI 2021
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion
AAAI 2021