1 citations · 3 across the 11 of their papers we have counts for
11 papers
NGL: Natural Garment Language for Training-Free Sewing Pattern Estimation
Anna Badalyan, Pratheba Selvaraju, Giorgio Becherini +3
Estimating sewing patterns from images is a practical approach for creating high-quality 3D garments, but it remains challenging due to the scarcity of paired real-world image and…
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
Rick Akkerman, Haiwen Feng, Michael J. Black +2
Predicting the dynamics of interacting objects is essential for both humans and intelligent systems. However, existing approaches are limited to simplified, toy settings and lack g…
OFER: Occluded Face Expression Reconstruction
Pratheba Selvaraju, Victoria Fernandez Abrevaya, Timo Bolkart +4
Reconstructing 3D face models from a single image is an inherently ill-posed problem, which becomes even more challenging in the presence of occlusions. In addition to fewer availa…
Re-Thinking Inverse Graphics With Large Language Models
Peter Kulits, Haiwen Feng, Weiyang Liu +2
Inverse graphics -- the task of inverting an image into physical variables that, when rendered, enable reproduction of the observed scene -- is a fundamental challenge in computer…
SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis
George Retsinas, Panagiotis P. Filntisis, Radek Danecek +4
While existing methods for 3D face reconstruction from in-the-wild images excel at recovering the overall face shape, they commonly miss subtle, extreme, asymmetric, or rarely obse…
Explorative Inbetweening of Time and Space
Haiwen Feng, Zheng Ding, Zhihao Xia +4
We introduce bounded generation as a generalized task to control video generation to synthesize arbitrary camera and subject motion based only on a given start and end frame. Our o…
Adversarial Likelihood Estimation With One-Way Flows
Omri Ben-Dov, Pravir Singh Gupta, Victoria Abrevaya +2
Generative Adversarial Networks (GANs) can produce high-quality samples, but do not provide an estimate of the probability density around the samples. However, it has been noted th…
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance
Haiwen Feng, Peter Kulits, Shichen Liu +2
We address the problem of fitting a parametric human body model (SMPL) to point cloud data. Optimization-based methods require careful initialization and are prone to becoming trap…
LED: Latent Variable-based Estimation of Density
Omri Ben-Dov, Pravir Singh Gupta, Victoria Fernandez Abrevaya +2
Modern generative models are roughly divided into two main categories: (1) models that can produce high-quality random samples, but cannot estimate the exact density of new data po…
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Haiwen Feng, Timo Bolkart, Joachim Tesch +2
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requi…
I M Avatar: Implicit Morphable Head Avatars from Videos
Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler +3
Traditional 3D morphable face models (3DMMs) provide fine-grained control over expression but cannot easily capture geometric and appearance details. Neural volumetric representati…