3 citations · 5 across the 6 of their papers we have counts for
6 papers · 1 filter
Information-Regularized Constrained Inversion for Stable Avatar Editing from Sparse Supervision
Zhenxiao Liang, Qixing Huang
Editing animatable human avatars typically relies on sparse supervision, often a few edited keyframes, yet naively fitting a reconstructed avatar to these edits frequently causes i…
ShapeGaussian: High-Fidelity 4D Human Reconstruction in Monocular Videos via Vision Priors
Zhenxiao Liang, Ning Zhang, Youbao Tang +4
We introduce ShapeGaussian, a high-fidelity, template-free method for 4D human reconstruction from casual monocular videos. Generic reconstruction methods lacking robust vision pri…
Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method
Yan Zheng, Zhenxiao Liang, Xiaoyan Cong +4
We explore the oscillatory behavior observed in inversion methods applied to large-scale text-to-image diffusion models, with a focus on the "Flux" model. By employing a fixed-poin…
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
Chen Song, Zhenxiao Liang, Bo Sun +1
We present Parametric Piecewise Linear Networks (PPLNs) for temporal vision inference. Motivated by the neuromorphic principles that regulate biological neural behaviors, PPLNs are…
Learning Transformation Synchronization
Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou +3
Reconstructing the 3D model of a physical object typically requires us to align the depth scans obtained from different camera poses into the same coordinate system. Solutions to t…
Path-Invariant Map Networks
Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu +2
Optimizing a network of maps among a collection of objects/domains (or map synchronization) is a central problem across computer vision and many other relevant fields. Compared to…