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Virtual garment simulation has become increasingly important with applications in garment design and virtual try-on. However, reproducing garments faithfully remains a cumbersome process. We propose an end-to-end forward pipeline for estimating ...

Many VR animal embodiment sytsems suffer from poor animation fidelity, typically animating the animal avatars using inverse kinematics. We address this issue, presenting a novel deep-learning method, centred around a shared codebook, for mapping human ...

Animation is a challenging and time-consuming process where animators must manipulate hundreds of controls over space and time to create compelling motions. Recent advances in motion diffusion models have shown impressive results for general motion ...

This paper proposes a novel approach to enhance the realism of a rule-based crowd simulation model by incorporating social rules and gaze-driven attention with consistent animations. Current crowd simulation models focus mostly on steering towards a ...

Equipping stylized conversational characters with facial animations tailored to specific emotions enhances coherence and authenticity. Many data-driven speech animation methods lack dynamic facial expressions since they rely on explicit semantic control ...

We present a framework for the interactive simulation of fluids coupled with rigid bodies that targets heterogeneous distributed computing architectures. Specifically, our proposed approach is well-suited for computer graphics applications that combine ...

Achieving stable simulation of constrained rigid body systems is a primary concern for many computer graphics applications, such as video games, robotic planning, and virtual reality training. In this paper, we present a novel adaptive sub-stepping ...

We present an approach for training "agile" character control policies, able to produce a wide variety of motor skills from a single reference motion cycle. Our technique builds off of generative adversarial imitation learning (GAIL), with a key novelty ...

In this paper, we tackle the challenge of three-dimensional estimation of expressive, animatable, and textured human avatars from a single frontal image. Leveraging a Skinned Multi-Person Linear (SMPL) parametric body, we adjust the model parameters to ...

In this work, we present a data-driven framework for generating diverse in-betweening motions for kinematic characters. Our approach injects dynamic conditions and explicit motion controls into the procedure of motion transitions. Notably, this ...

Digital storytelling, essential in entertainment, education, and marketing, faces challenges in generation efficiency. The StoryAgent framework, introduced in this paper, utilizes Large Language Models and generative tools to automate and refine digital ...

Audio-driven 3D facial animation synthesis has been an active field of research with attention from both academia and industry. While there are promising results in this area, recent approaches largely focus on lip-sync and identity control, neglecting ...

We present a generative model that learns to synthesize human motion from limited training sequences. Our framework provides conditional generation and blending across multiple temporal resolutions. The model adeptly captures human motion patterns by ...

Image-based material editing neural networks have been trained on perceptual attributes because such attributes are human-friendly. But it seems that training such networks on non-perceptual material parameters has been neglected in comparison. It is ...

We present two color-multiplexed illumination sequences for optimally-aligned one-light-at-a-time (OLAT) captures. We leverage color-multiplexing strategies to embed tracking frames within the OLAT photographs to correct for subject motion. Our method ...

Presence, or the experience of being present in a computer-generated environment, is a defining element of virtual reality. While there are different methodologies to measure presence, questionnaires remain the most popular, particularly the Igroup ...

Virtual reality (VR) as an emerging technology, has been deeply integrated into people's production and life, and has become an indispensable part of today's society. With the continuous growth of the VR market, the realization of ultra-low latency ...

Aiming at the problem that template leakage in iris recognition system, a novel iris template protection method based on dual mapping double bloom filter and discrete logarithm is proposed, dual mapping refers to adding gray mapping to the original double ...