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Yanwen Wang

5 accepted papers

2026

DeX-Portrait: Disentangled and Expressive Portrait Animation via Explicit and Latent Motion Representations

CVPR 2026

Portrait animation from a single source image and a driving video is a long-standing problem. Recent approaches tend to adopt diffusion-based image/video generation models for realistic and expressive animation. However, none of these diffusion models realizes high-fidelity disentangled control betw

Cited by 0SourceScholar
2026

MicroFM: Physics-guided Flow Matching for Isotropic Microscopy Reconstruction

CVPR 2026

Isotropic microscopy reconstruction remains challenging because the anisotropic point spread function in optical systems yields much poorer axial resolution and hampers accurate 3D analysis. Hardware strategies can approach isotropy, yet they are complex, costly, susceptible to sidelobes, and introd

Cited by 0SourceScholar
2026

QuantWear: Quantum-scale Wear Particle Detection for Jet Engine Diagnosis

ICML 2026poster

The quantity and 3-D shape of wear particles are essential indicators for assessing the health of jet engines, enabling early detection of potential damage and preventing accidents caused by catastrophic failures. However, capturing wear particles is difficult due to their minute sizes and ultra hig…

Cited by 0SourceScholar
2025

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation

ICCV 2025poster

Efficient 3D avatar creation is a significant demand in the metaverse, film/game, AR/VR, etc. In this paper, we rethink text-to-avatar generative models by proposing TeRA, a more efficient and effective framework than the previous SDS-based models and general large 3D generative models. Our approach…

Cited by 0SourcePDFScholar
2024

Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°

ECCV 2024poster

"Creating a 360◦ parametric model of a human head is a very challenging task. While recent advancements have demonstrated the efficacy of leveraging synthetic data for building such parametric head models, their performance remains inadequate in crucial areas such as expression-driven animation, hai…