Deep Compliant Control

Lee, Seung Hwan; Chang, Phil Sik; Lee, Jehee

doi:10.1145/3528233.3530719

Cited by 9 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methods based on geometrical information such as the one by Vazquez et al [ 14 ] consider measures such as the area, the projected area, the silhouette and other characteristics of the viewpoint, but they can overlook the structural information of the 3D model. Methods based on visual characteristics focus on visual attributes such as silhouette, curvature [ 25 ], and mesh importance [ 26 ]. Although these methods are efficient for measuring visual characteristics, they can omit important geometric information in the scene.…”

Section: State Of the Artmentioning

confidence: 99%

Viewpoint Selection for 3D-Games with f-Divergences

Martin,

Sbert,

Chover

2024

Entropy

View full text Add to dashboard Cite

In this paper, we present a novel approach for the optimal camera selection in video games. The new approach explores the use of information theoretic metrics f-divergences, to measure the correlation between the objects as viewed in camera frustum and the ideal or target view. The f-divergences considered are the Kullback–Leibler divergence or relative entropy, the total variation and the χ2 divergence. Shannon entropy is also used for comparison purposes. The visibility is measured using the differential form factors from the camera to objects and is computed by casting rays with importance sampling Monte Carlo. Our method allows a very fast dynamic selection of the best viewpoints, which can take into account changes in the scene, in the ideal or target view, and in the objectives of the game. Our prototype is implemented in Unity engine, and our results show an efficient selection of the camera and an improved visual quality. The most discriminating results are obtained with the use of Kullback–Leibler divergence.

show abstract

Section: State Of the Artmentioning

confidence: 99%

Viewpoint Selection for 3D-Games with f-Divergences

Martin,

Sbert,

Chover

2024

Entropy

View full text Add to dashboard Cite

show abstract

“…Human hit reaction motion is the joint result of their own muscles and bones working together to decrease the attack and the force of the strike. While techniques for compliant control of rigid body characters 2 and skeletal muscle modeling for full-body motion control have been proposed, [3][4][5] their implementation in game creation is hampered by their complexity and high cost.…”

Section: Introductionmentioning

confidence: 99%

Character hit reaction animations using physics and inverse kinematics

Liu

Zhou

Wei

et al. 2023

Computer Animation & Virtual

View full text Add to dashboard Cite

Character hit reaction is an inherent component in game development. Natural hit reactions in games are typically achieved through the use of artist‐created hit animations and motion capture. To improve the realism of impact reactions, game developers combine physics simulation with distinct hit animations based on character statuses. However, there is currently no method that can automatically produce hit reactions based on hit information in game development. To this end, we propose a physics‐driven inverse kinematic method for generating character reaction animations. We postulate that a character's hit reactions are the result of an assault impulse spreading throughout the body and forcing the body to move. Five IK (inverse kinematics) solvers are used to control character poses. Each IK solver is used to control the movement of a different part of the body. The IK solvers, which are used to determine the positions of various bodily parts, are driven by unconstrained physics simulation. Furthermore, physics simulation with constraints is used to fine‐tune the character's movements. Experiment results show that our method outperforms Unreal Engine‐based hit animation and physics simulation.

show abstract

Physics-based character animation and human motor control

Llobera

Charbonnier

2023

Physics of Life Reviews

View full text Add to dashboard Cite

Deep Compliant Control

Cited by 9 publications

References 36 publications

Viewpoint Selection for 3D-Games with f-Divergences

Viewpoint Selection for 3D-Games with f-Divergences

Character hit reaction animations using physics and inverse kinematics

Physics-based character animation and human motor control

Contact Info

Product

Resources

About