activity
20242026
most citedSketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2026

UIKA: Fast Universal Head Avatar from Pose-Free Images

Zijian Wu, Boyao Zhou, Liangxiao Hu +6

We present UIKA, a feed-forward animatable Gaussian head model from an arbitrary number of pose-free inputs, including a single image, multi-view captures, and smartphone-captured…

cs.CV2025

Pressure2Motion: Hierarchical Human Motion Reconstruction from Ground Pressure with Text Guidance

Zhengxuan Li, Qinhui Yang, Yiyu Zhuang +7

We present Pressure2Motion, a novel motion capture algorithm that reconstructs human motion from a ground pressure sequence and text prompt. At inference time, Pressure2Motion requ…

cs.CV2025★ 1 cited

Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction

Li Wang, Yiyu Zhuang, Yanwen Wang +4

3D human pose estimation from sketches has broad applications in computer animation and film production. Unlike traditional human pose estimation, this task presents unique challen…

cs.CV2025

Bringing Your Portrait to 3D Presence

Jiawei Zhang, Lei Chu, Jiahao Li +6

We present a unified framework for reconstructing animatable 3D human avatars from a single portrait across head, half-body, and full-body inputs. Our method tackles three bottlene…

cs.CV2025

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation

Yanwen Wang, Yiyu Zhuang, Jiawei Zhang +5

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 gener…

cs.CV2024

MCMat: Multiview-Consistent and Physically Accurate PBR Material Generation

Shenhao Zhu, Lingteng Qiu, Xiaodong Gu +11

Existing 2D methods utilize UNet-based diffusion models to generate multi-view physically-based rendering (PBR) maps but struggle with multi-view inconsistency, while some 3D metho…

cs.CV2024

IDOL: Instant Photorealistic 3D Human Creation from a Single Image

Yiyu Zhuang, Jiaxi Lv, Hao Wen +7

Creating a high-fidelity, animatable 3D full-body avatar from a single image is a challenging task due to the diverse appearance and poses of humans and the limited availability of…

cs.CV2024

FATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video

Jiawei Zhang, Zijian Wu, Zhiyang Liang +5

Reconstructing high-fidelity, animatable 3D head avatars from effortlessly captured monocular videos is a pivotal yet formidable challenge. Although significant progress has been m…

cs.CV2024

Towards Native Generative Model for 3D Head Avatar

Yiyu Zhuang, Yuxiao He, Jiawei Zhang +6

Creating 3D head avatars is a significant yet challenging task for many applicated scenarios. Previous studies have set out to learn 3D human head generative models using massive 2…

cs.CV2024

EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head

Qianyun He, Xinya Ji, Yicheng Gong +11

We present a novel approach for synthesizing 3D talking heads with controllable emotion, featuring enhanced lip synchronization and rendering quality. Despite significant progress…

cs.CV2024

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

Yuxiao He, Yiyu Zhuang, Yanwen Wang +6

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…