Beibei Wang
12 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver ποΈ Keyword Collector (60)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Computer Vision
(8)
Generation
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Analysis
(4)
Core AI
(4)
Processing
(4)
Computer Science
(3)
Models
(3)
Machine Learning
(2)
Applications Β· Computer Science
(2)
Data Science & Analytics
(1)
Robotics
(1)
Application Areas
(1)
Applications Β· Data Science & Analytics
(1)
Keywords
novel view synthesis
(3)
gaussian splatting
(3)
3d gaussian splatting
(3)
diffusion model
(2)
neural radiance field
(2)
inverse rendering
(2)
intrinsic decomposition
(2)
neural rendering
(2)
visual navigation
(1)
image inpainting
(1)
computer graphics
(1)
autonomous driving
(1)
material synthesis
(1)
signed distance field
(1)
procedural generation
(1)
object removal
(1)
physically-based rendering
(1)
real-time rendering
(1)
vision-language model
(1)
scene reconstruction
(1)
Papers
All Along the Watchtower: Achieving the Trinity of Observability in Cloud with DiTing
OSDI 2026
Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter
CVPR 2026
FabricGen: Microstructure-Aware Woven Fabric Generation
CVPR 2026
GOR-IS: 3D Gaussian Object Removal In the Intrinsic Space
CVPR 2026
IntrinsicWeather: Controllable Weather Editing in Intrinsic Space
CVPR 2026
MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis
CVPR 2026
Gaussian Splatting with Discretized SDF for Relightable Assets
ICCV 2025
RNG: Relightable Neural Gaussians
CVPR 2025
SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
CVPR 2025
Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
CVPR 2024
CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes
NeurIPS 2023
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting
AAAI 2021