Human motion generation: A survey
Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …
immense potential for real-world applications. Substantial progress has been made recently …
State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …
image observations is a long‐standing and actively researched area of computer vision and …
Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
3D avatar creation plays a crucial role in the digital age. However, the whole production
process is prohibitively time-consuming and labor-intensive. To democratize this technology …
process is prohibitively time-consuming and labor-intensive. To democratize this technology …
Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
We show, for the first time, that neural networks trained only on synthetic data achieve state-
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …
Text2human: Text-driven controllable human image generation
Generating high-quality and diverse human images is an important yet challenging task in
vision and graphics. However, existing generative models often fall short under the high …
vision and graphics. However, existing generative models often fall short under the high …
One-stage 3d whole-body mesh recovery with component aware transformer
Whole-body mesh recovery aims to estimate the 3D human body, face, and hands
parameters from a single image. It is challenging to perform this task with a single network …
parameters from a single image. It is challenging to perform this task with a single network …
Motion-x: A large-scale 3d expressive whole-body human motion dataset
In this paper, we present Motion-X, a large-scale 3D expressive whole-body motion dataset.
Existing motion datasets predominantly contain body-only poses, lacking facial expressions …
Existing motion datasets predominantly contain body-only poses, lacking facial expressions …
Sherf: Generalizable human nerf from a single image
Abstract Existing Human NeRF methods for reconstructing 3D humans typically rely on
multiple 2D images from multi-view cameras or monocular videos captured from fixed …
multiple 2D images from multi-view cameras or monocular videos captured from fixed …
Smpler-x: Scaling up expressive human pose and shape estimation
Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion
capture with numerous applications. Despite encouraging progress, current state-of-the-art …
capture with numerous applications. Despite encouraging progress, current state-of-the-art …
Dna-rendering: A diverse neural actor repository for high-fidelity human-centric rendering
Realistic human-centric rendering plays a key role in both computer vision and computer
graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing …
graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing …