activity
20172025
most citedLearning Compositional Radiance Fields of Dynamic Human Heads

11 citations · 19 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images

Rong Wang, Fabian Prada, Ziyan Wang +10

We present a novel method for reconstructing personalized 3D human avatars with realistic animation from only a few images. Due to the large variations in body shapes, poses, and c…

cs.CV202011 cited

Learning Compositional Radiance Fields of Dynamic Human Heads

Ziyan Wang, Timur Bagautdinov, Stephen Lombardi +4

Photorealistic rendering of dynamic humans is an important ability for telepresence systems, virtual shopping, synthetic data generation, and more. Recently, neural rendering metho…

cs.CV2018

A Parametric Top-View Representation of Complex Road Scenes

Ziyan Wang, Buyu Liu, Samuel Schulter +1

In this paper, we address the problem of inferring the layout of complex road scenes given a single camera as input. To achieve that, we first propose a novel parameterized model o…

cs.CV2018

Geometry-Aware Recurrent Neural Networks for Active Visual Recognition

Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki

We present recurrent geometry-aware neural networks that integrate visual information across multiple views of a scene into 3D latent feature tensors, while maintaining an one-to-o…

cs.CV20173 cited

Semantic Photometric Bundle Adjustment on Natural Sequences

Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin +2

The problem of obtaining dense reconstruction of an object in a natural sequence of images has been long studied in computer vision. Classically this problem has been solved throug…

cs.CV20172 cited

Object-Centric Photometric Bundle Adjustment with Deep Shape Prior

Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin +2

Reconstructing 3D shapes from a sequence of images has long been a problem of interest in computer vision. Classical Structure from Motion (SfM) methods have attempted to solve thi…