128 citations · 299 across the 6 of their papers we have counts for
6 papers
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance
Haiwen Feng, Peter Kulits, Shichen Liu +2
We address the problem of fitting a parametric human body model (SMPL) to point cloud data. Optimization-based methods require careful initialization and are prone to becoming trap…
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network
Haiwei Chen, Jiayi Liu, Weikai Chen +2
Synthesis of ergodic, stationary visual patterns is widely applicable in texturing, shape modeling, and digital content creation. The wide applicability of this technique thus requ…
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction
Yichao Zhou, Shichen Liu, Yi Ma
3D reconstruction from a single RGB image is a challenging problem in computer vision. Previous methods are usually solely data-driven, which lead to inaccurate 3D shape recovery a…
Learning to Infer Implicit Surfaces without 3D Supervision
Shichen Liu, Shunsuke Saito, Weikai Chen +1
Recent advances in 3D deep learning have shown that it is possible to train highly effective deep models for 3D shape generation, directly from 2D images. This is particularly inte…
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Shichen Liu, Tianye Li, Weikai Chen +1
Rendering bridges the gap between 2D vision and 3D scenes by simulating the physical process of image formation. By inverting such renderer, one can think of a learning approach to…
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction
Shichen Liu, Weikai Chen, Tianye Li +1
Rendering is the process of generating 2D images from 3D assets, simulated in a virtual environment, typically with a graphics pipeline. By inverting such renderer, one can think o…