activity
20222024
most citedNeural Strands: Learning Hair Geometry and Appearance from Multi-View Images

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture

ShahRukh Athar, Shunsuke Saito, Zhengyu Yang +2

Creating photorealistic avatars for individuals traditionally involves extensive capture sessions with complex and expensive studio devices like the LightStage system. While recent…

cs.CV2024

InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion

Jihyun Lee, Shunsuke Saito, Giljoo Nam +2

We present InterHandGen, a novel framework that learns the generative prior of two-hand interaction. Sampling from our model yields plausible and diverse two-hand shapes in close i…

cs.CV20241 cited

GALA: Generating Animatable Layered Assets from a Single Scan

Taeksoo Kim, Byungjun Kim, Shunsuke Saito +1

We present GALA, a framework that takes as input a single-layer clothed 3D human mesh and decomposes it into complete multi-layered 3D assets. The outputs can then be combined with…

cs.CV2023

MEGANE: Morphable Eyeglass and Avatar Network

Junxuan Li, Shunsuke Saito, Tomas Simon +3

Eyeglasses play an important role in the perception of identity. Authentic virtual representations of faces can benefit greatly from their inclusion. However, modeling the geometri…

cs.CV20231 cited

RelightableHands: Efficient Neural Relighting of Articulated Hand Models

Shun Iwase, Shunsuke Saito, Tomas Simon +7

We present the first neural relighting approach for rendering high-fidelity personalized hands that can be animated in real-time under novel illumination. Our approach adopts a tea…

cs.CV20222 cited

Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images

Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang +3

We present Neural Strands, a novel learning framework for modeling accurate hair geometry and appearance from multi-view image inputs. The learned hair model can be rendered in rea…