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20182026
most citedMIGS: Meta Image Generation from Scene Graphs

7 citations · 11 across the 5 of their papers we have counts for

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14 papers · 1 filter

cs.CV20261 cited

ICo3D: An Interactive Conversational 3D Virtual Human

Richard Shaw, Youngkyoon Jang, Athanasios Papaioannou +4

This work presents Interactive Conversational 3D Virtual Human (ICo3D), a method for generating an interactive, conversational, and photorealistic 3D human avatar. Based on multi-v…

cs.CV2025

GASPACHO: Gaussian Splatting for Controllable Humans and Objects

Aymen Mir, Arthur Moreau, Helisa Dhamo +3

We present GASPACHO, a method for generating photorealistic, controllable renderings of human-object interactions from multi-view RGB video. Unlike prior work that reconstructs onl…

cs.CV2024

FORCE: Physics-aware Human-object Interaction

Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke +5

Interactions between human and objects are influenced not only by the object's pose and shape, but also by physical attributes such as object mass and surface friction. They introd…

cs.CV2023

SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting

Richard Shaw, Michal Nazarczuk, Jifei Song +4

Novel view synthesis has shown rapid progress recently, with methods capable of producing increasingly photorealistic results. 3D Gaussian Splatting has emerged as a promising meth…

cs.CV2023

HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting

Helisa Dhamo, Yinyu Nie, Arthur Moreau +4

3D head animation has seen major quality and runtime improvements over the last few years, particularly empowered by the advances in differentiable rendering and neural radiance fi…

cs.CV2023

Human Gaussian Splatting: Real-time Rendering of Animatable Avatars

Arthur Moreau, Jifei Song, Helisa Dhamo +3

This work addresses the problem of real-time rendering of photorealistic human body avatars learned from multi-view videos. While the classical approaches to model and render virtu…