4 citations · 6 across the 8 of their papers we have counts for
11 papers
Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation
Hyunsoo Lee, Inwoo Hwang, Young Min Kim
Generating diverse, coherent, and plausible content from partially given inputs remains a fundamental challenge for diffusion models. Existing approaches face clear limitations: tr…
EgoForce: Robust Online Egocentric Motion Reconstruction via Diffusion Forcing
Inwoo Hwang, Donggeun Lim, Hojun Jang +1
With recent advances in embodied agents and AR devices, egocentric observations are readily available as input for real-world interactive online applications. However, egocentric v…
ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation
Inwoo Hwang, Hojun Jang, Bing Zhou +3
We present ScaleMoGen, a scale-wise autoregressive framework for text-driven human motion generation. Unlike conventional autoregressive approaches that rely on standard next-token…
Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene
Donggeun Lim, Jinseok Bae, Inwoo Hwang +3
In this work, we propose a framework that creates a lively virtual dynamic scene with contextual motions of multiple humans. Generating multi-human contextual motion requires holis…
A Survey on Human Interaction Motion Generation
Kewei Sui, Anindita Ghosh, Inwoo Hwang +3
Humans inhabit a world defined by interactions -- with other humans, objects, and environments. These interactive movements not only convey our relationships with our surroundings…
Versatile Physics-based Character Control with Hybrid Latent Representation
Jinseok Bae, Jungdam Won, Donggeun Lim +2
We present a versatile latent representation that enables physically simulated character to efficiently utilize motion priors. To build a powerful motion embedding that is shared a…
SceneMI: Motion In-betweening for Modeling Human-Scene Interactions
Inwoo Hwang, Bing Zhou, Young Min Kim +2
Modeling human-scene interactions (HSI) is essential for understanding and simulating everyday human behaviors. Recent approaches utilizing generative modeling have made progress i…
Motion Synthesis with Sparse and Flexible Keyjoint Control
Inwoo Hwang, Jinseok Bae, Donggeun Lim +1
Creating expressive character animations is labor-intensive, requiring intricate manual adjustment of animators across space and time. Previous works on controllable motion generat…
Text2Scene: Text-driven Indoor Scene Stylization with Part-aware Details
Inwoo Hwang, Hyeonwoo Kim, Young Min Kim
We propose Text2Scene, a method to automatically create realistic textures for virtual scenes composed of multiple objects. Guided by a reference image and text descriptions, our p…
Ev-NeRF: Event Based Neural Radiance Field
Inwoo Hwang, Junho Kim, Young Min Kim
We present Ev-NeRF, a Neural Radiance Field derived from event data. While event cameras can measure subtle brightness changes in high frame rates, the measurements in low lighting…
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
Junho Kim, Inwoo Hwang, Young Min Kim
We introduce Ev-TTA, a simple, effective test-time adaptation algorithm for event-based object recognition. While event cameras are proposed to provide measurements of scenes with…