activity
20192026
most citedMultiview Textured Mesh Recovery by Differentiable Rendering

22 citations · 40 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

SyncEdit: Rethinking Lip Synchronization as Editing with Audio-Driven Diffusion Models

Lixiang Lin, Siyuan Jin, Jinshan Zhang

Lip synchronization refers to the task of modifying facial lip movements such that they are temporally aligned with a given audio signal. It is a fundamental problem in audio-visua…

cs.CV2023

Semantic-Preserved Point-based Human Avatar

Lixiang Lin, Jianke Zhu

To enable realistic experience in AR/VR and digital entertainment, we present the first point-based human avatar model that embodies the entirety expressive range of digital humans…

cs.CV2023

FastMESH: Fast Surface Reconstruction by Hexagonal Mesh-based Neural Rendering

Yisu Zhang, Jianke Zhu, Lixiang Lin

Despite the promising results of multi-view reconstruction, the recent neural rendering-based methods, such as implicit surface rendering (IDR) and volume rendering (NeuS), not onl…

cs.CV2023

Multi-View Stereo Representation Revisit: Region-Aware MVSNet

Yisu Zhang, Jianke Zhu, Lixiang Lin

Deep learning-based multi-view stereo has emerged as a powerful paradigm for reconstructing the complete geometrically-detailed objects from multi-views. Most of the existing appro…

cs.CV2022★ 1 cited

FastHuman: Reconstructing High-Quality Clothed Human in Minutes

Lixiang Lin, Songyou Peng, Qijun Gan +1

We propose an approach for optimizing high-quality clothed human body shapes in minutes, using multi-view posed images. While traditional neural rendering methods struggle to disen…

cs.CV2022★ 22 cited

Multiview Textured Mesh Recovery by Differentiable Rendering

Lixiang Lin, Jianke Zhu, Yisu Zhang

Although having achieved the promising results on shape and color recovery through self-supervision, the multi-layer perceptrons-based methods usually suffer from heavy computation…

cs.CV2021

Topology-Preserved Human Reconstruction with Details

Lixiang Lin, Jianke Zhu

It is challenging to directly estimate the human geometry from a single image due to the high diversity and complexity of body shapes with the various clothing styles. Most of mode…

cs.CV2021★ 12 cited

Weakly-Supervised Multi-Face 3D Reconstruction

Jialiang Zhang, Lixiang Lin, Jianke Zhu +1

3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identif…

cs.CV2019★ 5 cited

Attribute-aware Pedestrian Detection in a Crowd

Jialiang Zhang, Lixiang Lin, Yang Li +4

Pedestrian detection is an initial step to perform outdoor scene analysis, which plays an essential role in many real-world applications. Although having enjoyed the merits of deep…