Talking human face generation aims at synthesizing a natural human face that talks in
correspondence to the given text or audio series. Implementing the recently developed …

Rendering bridges the gap between 2D vision and 3D scenes by simulating the physical
process of image formation. By inverting such renderer, one can think of a learning …

In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …

We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East
Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan …

Generative adversarial networks (GANs) have been extensively studied in recent years and
have been used to address several problems in the fields of image generation and computer …

We present a simple yet effective method to infer detailed full human body shape from only a
single photograph. Our model can infer full-body shape including face, hair, and clothing …

Over the last years, with the advent of Generative Adversarial Networks (GANs), many face
analysis tasks have accomplished astounding performance, with applications including, but …

We introduce a new silhouette-based representation for modeling clothed human bodies
using deep generative models. Our method can reconstruct a complete and textured 3D …

In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …

Following the remarkable success of diffusion models on image generation, recent works
have also demonstrated their impressive ability to address a number of inverse problems in …