activity
20162023
most citedDiffTaichi: Differentiable Programming for Physical Simulation

75 citations · 94 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Normal-guided Garment UV Prediction for Human Re-texturing

Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan +4

Clothes undergo complex geometric deformations, which lead to appearance changes. To edit human videos in a physically plausible way, a texture map must take into account not only…

cs.GR2020★ 2 cited

FAME: 3D Shape Generation via Functionality-Aware Model Evolution

Yanran Guan, Han Liu, Kun Liu +8

We introduce a modeling tool which can evolve a set of 3D objects in a functionality-aware manner. Our goal is for the evolution to generate large and diverse sets of plausible 3D…

cs.CV2020

Learning Generative Models of Shape Handles

Matheus Gadelha, Giorgio Gori, Duygu Ceylan +5

We present a generative model to synthesize 3D shapes as sets of handles -- lightweight proxies that approximate the original 3D shape -- for applications in interactive editing, s…

cs.GR2019

Automatic Scene Inference for 3D Object Compositing

Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap +4

We present a user-friendly image editing system that supports a drag-and-drop object insertion (where the user merely drags objects into the image, and the system automatically pla…

cs.LG2019★ 75 cited

DiffTaichi: Differentiable Programming for Physical Simulation

Yuanming Hu, Luke Anderson, Tzu-Mao Li +4

We present DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators. Based on an imperative programming langu…

cs.CV2019★ 2 cited

Fast Spatially-Varying Indoor Lighting Estimation

Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap +2

We propose a real-time method to estimate spatiallyvarying indoor lighting from a single RGB image. Given an image and a 2D location in that image, our CNN estimates a 5th order sp…