activity
20182021
most citedSoft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning

128 citations · 313 across the 8 of their papers we have counts for

collaborators

13 papers

cs.CV20212 cited

3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction

Yuda Qiu, Xiaojie Xu, Lingteng Qiu +4

Caricature is an artistic representation that deliberately exaggerates the distinctive features of a human face to convey humor or sarcasm. However, reconstructing a 3D caricature…

cs.CV20202 cited

Deep Optimized Priors for 3D Shape Modeling and Reconstruction

Mingyue Yang, Yuxin Wen, Weikai Chen +2

Many learning-based approaches have difficulty scaling to unseen data, as the generality of its learned prior is limited to the scale and variations of the training samples. This h…

cs.CV20202 cited

Intuitive, Interactive Beard and Hair Synthesis with Generative Models

Kyle Olszewski, Duygu Ceylan, Jun Xing +4

We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challeng…

cs.CV2020

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

Heming Zhu, Yu Cao, Hang Jin +5

High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc. Recent advances in lea…

cs.CV201988 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

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks

Junyi Pan, Xiaoguang Han, Weikai Chen +2

Reconstructing the 3D mesh of a general object from a single image is now possible thanks to the latest advances of deep learning technologies. However, due to the nontrivial diffi…