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 …
Interdiff: Generating 3d human-object interactions with physics-informed diffusion
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
GOAL: Generating 4D whole-body motion for hand-object gras**
Generating digital humans that move realistically has many applications and is widely
studied, but existing methods focus on the major limbs of the body, ignoring the hands and …
studied, but existing methods focus on the major limbs of the body, ignoring the hands and …
Diffusion-guided reconstruction of everyday hand-object interaction clips
We tackle the task of reconstructing hand-object interactions from short video clips. Given an
input video, our approach casts 3D inference as a per-video optimization and recovers a …
input video, our approach casts 3D inference as a per-video optimization and recovers a …
Adversarial generation of continuous images
In most existing learning systems, images are typically viewed as 2D pixel arrays. However,
in another paradigm gaining popularity, a 2D image is represented as an implicit neural …
in another paradigm gaining popularity, a 2D image is represented as an implicit neural …