activity
20162026
most citedLearning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

261 citations · 784 across the 21 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 1 cited

HumanGen: Generating Human Radiance Fields with Explicit Priors

Suyi Jiang, Haoran Jiang, Ziyu Wang +3

Recent years have witnessed the tremendous progress of 3D GANs for generating view-consistent radiance fields with photo-realism. Yet, high-quality generation of human radiance fie…

cs.CV2022

Relightable Neural Human Assets from Multi-view Gradient Illuminations

Taotao Zhou, Kai He, Di Wu +6

Human modeling and relighting are two fundamental problems in computer vision and graphics, where high-quality datasets can largely facilitate related research. However, most exist…

cs.CV2022★ 187 cited

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Jun Gao, Tianchang Shen, Zian Wang +6

As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of…

cs.CV2022

Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion

Zian Wang, Wenzheng Chen, David Acuna +2

We consider the challenging problem of outdoor lighting estimation for the goal of photorealistic virtual object insertion into photographs. Existing works on outdoor lighting esti…

cs.CV2022★ 1 cited

NARRATE: A Normal Assisted Free-View Portrait Stylizer

Youjia Wang, Teng Xu, Yiwen Wu +4

In this work, we propose NARRATE, a novel pipeline that enables simultaneously editing portrait lighting and perspective in a photorealistic manner. As a hybrid neural-physical fac…