128 citations · 299 across the 6 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 88 cited
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…
cs.CV2019★ 128 cited
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…
cs.CV2019★ 78 cited
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…