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Profil bibliographique

Jie-Ying Lee

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

18Publications signalées
68Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization TechniquesAdvanced Vision and Imaging3D Shape Modeling and AnalysisMicrostructure and Mechanical Properties of Steels

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering

Yi Liu, Jie-Ying Lee, Z Zhangqin Huang, Yu-Lun Liu et autres

Inverse rendering of urban scenes from captured videos enables numerous applications, including content creation and autonomous driving simulation. Physically-based rendering methods follow and control lighting physics, but suffer from reconstruction and rendering artifacts. While generative models produce realistic videos, they offer limited …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering

Yi Liu, Jie-Ying Lee, Zheng-Hui Huang, Yu-Lun Liu et autres

Inverse rendering of urban scenes from captured videos enables numerous applications, including content creation and autonomous driving simulation. Physically-based rendering methods follow and control lighting physics, but suffer from reconstruction and rendering artifacts. While generative models produce realistic videos, they offer limited …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

YoCausal: How Far is Video Generation from World Model? A Causality Perspective

You-Zhe Xie, Yu-Hsuan Li, Jie-Ying Lee, Kaipeng Zhang et autres

As video diffusion models (VDMs) advance toward world models, a key question arises: do they truly understand causality, or merely overfit to statistical temporal patterns? Existing benchmarks mostly rely on synthetic data, limiting real-world generalization due to the sim-to-real gap. We present …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

YoCausal: How Far is Video Generation from World Model? A Causality Perspective

You-Zhe Xie, Yu-Hsuan Li, Jie-Ying Lee, Kaipeng Zhang et autres

As video diffusion models (VDMs) advance toward world models, a key question arises: do they truly understand causality, or merely overfit to statistical temporal patterns? Existing benchmarks mostly rely on synthetic data, limiting real-world generalization due to the sim-to-real gap. We present …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360° Video Diffusion

Ting‐Hsuan Chen, Ying-Huan Chen, Tao Tu, Jie-Ying Lee et autres

Generating complete digital twins from videos requires precise camera control, global scene coverage, and strict spatial-temporal consistency constraints that remain challenging for perspective video generators due to their limited field of view (FoV). Their narrow FoV forces long or multi-view trajectories, amplifying …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360° Video Diffusion

Ting‐Hsuan Chen, Ying-Huan Chen, Tao Tu, Jie-Ying Lee et autres

Generating complete digital twins from videos requires precise camera control, global scene coverage, and strict spatial-temporal consistency constraints that remain challenging for perspective video generators due to their limited field of view (FoV). Their narrow FoV forces long or multi-view trajectories, amplifying …

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0 citations arXiv (Cornell University)
Accès ouvert 2025 conference-paper OpenAlex

Lightsout: Diffusion-Based Outpainting for Enhanced Lens Flare Removal

S.‐Y. Tsai, Wei‐Cheng Chang, Jie-Ying Lee, Chen-Ri Su et autres

Lens flare significantly degrades image quality, impacting critical computer vision tasks like object detection and autonomous driving. Recent Single Image Flare Removal (SIFR) methods perform poorly when off-frame light sources are incomplete or absent. We propose LightsOut, a diffusion-based outpainting framework tailored …

tw (code pays fourni par la source)

0 citations
2025 conference-paper OpenAlex

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting

C.J. Wu, Y. S. Chen, Jie-Ying Lee, Bo-Hsu Ke et autres

Three-dimensional scene inpainting is crucial for applications from virtual reality to architectural visualization, yet existing methods struggle with view consistency and geometric accuracy in 360° unbounded scenes. We present AuraFusion360, a novel reference-based method that enables high-quality object removal and hole filling …

tw (code pays fourni par la source)

6 citations
2025 conference-paper OpenAlex

SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes

Cheng-De Fan, Chen-Wei Chang, Yi Liu, Jie-Ying Lee et autres

We present SpectroMotion, a novel approach that combines 3D Gaussian Splatting (3DGS) with physically-based rendering (PBR) and deformation fields to reconstruct dynamic specular scenes. Previous methods extending 3DGS to model dynamic scenes have struggled to represent specular surfaces accurately. Our method addresses …

tw (code pays fourni par la source)

5 citations
Accès ouvert 2025 article OpenAlex

Effect of capping on the Dirac semimetal Cd3As2 on Si grown via molecular beam epitaxy

Wei-Chen Lin, Chiashain Chuang, Chun-Wei Kuo, Meng-Ting Wu et autres

Tunnel field-effect transistor (TFET) is emerging as a promising alternative to overcome the thermionic limit of 60 mV/dec in subthreshold swing (SS) inherent to Metal-Oxide-Semiconductor Field- Effect Transistor (MOSFET) through the band-to-band tunneling (BTBT) mechanism. TFET offers significant potential for applications in …

tw, jp (code pays fourni par la source)

0 citations Institutional Repositories DataBase (IRDB)
Accès ouvert 2025 preprint OpenAlex

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting

C.J. Wu, Y. S. Chen, Jie-Ying Lee, Bo-Hsu Ke et autres

Three-dimensional scene inpainting is crucial for applications from virtual reality to architectural visualization, yet existing methods struggle with view consistency and geometric accuracy in 360° unbounded scenes. We present AuraFusion360, a novel reference-based method that enables high-quality object removal and hole filling …

0 citations arXiv (Cornell University)

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