Search Results for author: Sofien Bouaziz

Found 13 papers, 5 papers with code

Multiresolution Deep Implicit Functions for 3D Shape Representation

no code implementations12 Sep 2021 Zhang Chen, yinda zhang, Kyle Genova, Sean Fanello, Sofien Bouaziz, Christian Haene, Ruofei Du, Cem Keskin, Thomas Funkhouser, Danhang Tang

To the best of our knowledge, MDIF is the first deep implicit function model that can at the same time (1) represent different levels of detail and allow progressive decoding; (2) support both encoder-decoder inference and decoder-only latent optimization, and fulfill multiple applications; (3) perform detailed decoder-only shape completion.

3D Reconstruction 3D Shape Representation

HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

1 code implementation24 Jun 2021 Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, Steven M. Seitz

A common approach to reconstruct such non-rigid scenes is through the use of a learned deformation field mapping from coordinates in each input image into a canonical template coordinate space.

Novel View Synthesis

HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences

1 code implementation CVPR 2021 Feitong Tan, Danhang Tang, Mingsong Dou, Kaiwen Guo, Rohit Pandey, Cem Keskin, Ruofei Du, Deqing Sun, Sofien Bouaziz, Sean Fanello, Ping Tan, yinda zhang

In this paper, we address the problem of building dense correspondences between human images under arbitrary camera viewpoints and body poses.

Nerfies: Deformable Neural Radiance Fields

1 code implementation25 Nov 2020 Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, Ricardo Martin-Brualla

We present the first method capable of photorealistically reconstructing deformable scenes using photos/videos captured casually from mobile phones.

3D Human Reconstruction

GeLaTO: Generative Latent Textured Objects

no code implementations ECCV 2020 Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman

Accurate modeling of 3D objects exhibiting transparency, reflections and thin structures is an extremely challenging problem.

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

5 code implementations CVPR 2021 Vladimir Tankovich, Christian Häne, yinda zhang, Adarsh Kowdle, Sean Fanello, Sofien Bouaziz

Contrary to many recent neural network approaches that operate on a full cost volume and rely on 3D convolutions, our approach does not explicitly build a volume and instead relies on a fast multi-resolution initialization step, differentiable 2D geometric propagation and warping mechanisms to infer disparity hypotheses.

Stereo Depth Estimation Stereo Disparity Estimation +1

RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation

no code implementations10 Feb 2020 Hossam Isack, Christian Haene, Cem Keskin, Sofien Bouaziz, Yuri Boykov, Shahram Izadi, Sameh Khamis

At the coarsest resolution, and in a manner similar to classical part-based approaches, we leverage the kinematic structure of the human body to propagate convolutional feature updates between the keypoints or body parts.

Pose Estimation

Multiview Aggregation for Learning Category-Specific Shape Reconstruction

1 code implementation NeurIPS 2019 Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas

We investigate the problem of learning category-specific 3D shape reconstruction from a variable number of RGB views of previously unobserved object instances.

3D Shape Reconstruction

Towards Real-time Simulation of Hyperelastic Materials

no code implementations25 Apr 2016 Tiantian Liu, Sofien Bouaziz, Ladislav Kavan

In this paper, we show that Projective Dynamics can be interpreted as a quasi-Newton method.

Graphics

Dynamic 3D Avatar Creation from Hand-held Video Input

no code implementations EPFL 2015 Alexandru Eugen Ichim, Sofien Bouaziz, Mark Pauly, EPFL

From this user- and expression-specific data, we learn a regressor for on-the-fly detail synthesis during animation to enhance the perceptual realism of the avatars.

Optical Flow Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.