5 citations · 13 across the 10 of their papers we have counts for
9 papers
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images
Jianchuan Chen, Wentao Yi, Liqian Ma +2
In this work, we focus on synthesizing high-fidelity novel view images for arbitrary human performers, given a set of sparse multi-view images. It is a challenging task due to the…
Sim2Real: Actively Building Explicit Physics Model for Precise Articulated Object Manipulation
Liqian Ma, Jiaojiao Meng, Shuntao Liu +3
Accurately manipulating articulated objects is a challenging yet important task for real robot applications. In this paper, we present a novel framework called Sim2Real to enab…
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation
Shenhan Qian, Jiale Xu, Ziwei Liu +2
We propose united implicit functions (UNIF), a part-based method for clothed human reconstruction and animation with raw scans and skeletons as the input. Previous part-based metho…
Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References
Chong Zhang, Qi Wu, Liqian Ma +1
Not until recently, robust robot locomotion has been achieved by deep reinforcement learning (DRL). However, for efficient learning of parametrized bipedal walking, developed refer…
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
Liqian Ma, Zhe Lin, Connelly Barnes +2
Due to the ubiquity of smartphones, it is popular to take photos of one's self, or "selfies." Such photos are convenient to take, because they do not require specialized equipment…
A Novel BiLevel Paradigm for Image-to-Image Translation
Liqian Ma, Qianru Sun, Bernt Schiele +1
Image-to-image (I2I) translation is a pixel-level mapping that requires a large number of paired training data and often suffers from the problems of high diversity and strong cate…