activity
20202026
most citedTotal3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

8 citations · 11 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2026

HairOrbit: Multi-view Aware 3D Hair Modeling from Single Portraits

Leyang Jin, Yujian Zheng, Bingkui Tong +3

Reconstructing strand-level 3D hair from a single-view image is highly challenging, especially when preserving consistent and realistic attributes in unseen regions. Existing metho…

cs.CV2026

InverseDraping: Recovering Sewing Patterns from 3D Garment Surfaces via BoxMesh Bridging

Leyang Jin, Zirong Jin, Zisheng Ye +4

Recovering sewing patterns from draped 3D garments is a challenging problem in human digitization research. In contrast to the well-studied forward process of draping designed sewi…

cs.CV2026

AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation

Zhenyu Xie, Ji Xia, Michael Kampffmeyer +9

Controllable character animation has advanced rapidly in recent years, yet multi-character animation remains underexplored. As the number of characters grows, multi-character refer…

cs.CV2026

Steering Video Diffusion Transformers with Massive Activations

Xianhang Cheng, Yujian Zheng, Zhenyu Xie +2

In this work, we study the role of Massive Activations (MAs), which are rare, high-magnitude spikes confined to a few fixed hidden dimensions in video diffusion transformers (DiTs)…

cs.CV2026

Condition Matters in Full-head 3D GANs

Heyuan Li, Huimin Zhang, Yuda Qiu +10

Conditioning is crucial for stable training of full-head 3D GANs. Without any conditioning signal, the model suffers from severe mode collapse, making it impractical to training. H…

cs.CV2025

LUIVITON: Learned Universal Interoperable VIrtual Try-ON

Cong Cao, Xianhang Cheng, Jingyuan Liu +5

To enable large-scale reuse of real-world 3D assets, where garments and characters rarely share skeletons, templates, or dense correspondences, we present a fully automated virtual…

cs.CV2025★ 1 cited

SOAP: Style-Omniscient Animatable Portraits

Tingting Liao, Yujian Zheng, Adilbek Karmanov +4

Creating animatable 3D avatars from a single image remains challenging due to style limitations (realistic, cartoon, anime) and difficulties in handling accessories or hairstyles.…

cs.CV2025

DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis

Yuming Gu, Phong Tran, Yujian Zheng +4

Generating high-quality 360-degree views of human heads from single-view images is essential for enabling accessible immersive telepresence applications and scalable personalized c…

cs.CV2024

Towards Unified 3D Hair Reconstruction from Single-View Portraits

Yujian Zheng, Yuda Qiu, Leyang Jin +5

Single-view 3D hair reconstruction is challenging, due to the wide range of shape variations among diverse hairstyles. Current state-of-the-art methods are specialized in recoverin…

cs.CV2023

EMS: 3D Eyebrow Modeling from Single-view Images

Chenghong Li, Leyang Jin, Yujian Zheng +2

Eyebrows play a critical role in facial expression and appearance. Although the 3D digitization of faces is well explored, less attention has been drawn to 3D eyebrow modeling. In…

cs.CV2023★ 2 cited

HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling

Yujian Zheng, Zirong Jin, Moran Li +4

In this work, we tackle the challenging problem of learning-based single-view 3D hair modeling. Due to the great difficulty of collecting paired real image and 3D hair data, using…

cs.CV2022

Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes

Haolin Liu, Yujian Zheng, Guanying Chen +2

We present a new framework to reconstruct holistic 3D indoor scenes including both room background and indoor objects from single-view images. Existing methods can only produce 3D…

cs.CV2020★ 8 cited

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

Yinyu Nie, Xiaoguang Han, Shihui Guo +3

Semantic reconstruction of indoor scenes refers to both scene understanding and object reconstruction. Existing works either address one part of this problem or focus on independen…