activity
20242026
collaborators

7 papers

cs.CV2026

FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute

Hongchi Xia, Tianhang Cheng, Wei-Chiu Ma +1

We present FIRE3D, a unified framework that transforms a single RGB image or casual video into interactable 3D scene assets for games and interactive applications in under a minute…

cs.CV2026

Cosmos 3: Omnimodal World Models for Physical AI

NVIDIA, :, Aditi +293

We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-t…

cs.CV2025

HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video

Hongchi Xia, Chih-Hao Lin, Hao-Yu Hsu +5

Digitizing the physical world into accurate simulation-ready virtual environments offers significant opportunities in a variety of fields such as augmented and virtual reality, gam…

cs.CV2025

DRAWER: Digital Reconstruction and Articulation With Environment Realism

Hongchi Xia, Entong Su, Marius Memmel +7

Creating virtual digital replicas from real-world data unlocks significant potential across domains like gaming and robotics. In this paper, we present DRAWER, a novel framework th…

cs.CV2024

AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Hao-Yu Hsu, Zhi-Hao Lin, Albert Zhai +2

Modern visual effects (VFX) software has made it possible for skilled artists to create imagery of virtually anything. However, the creation process remains laborious, complex, and…

cs.CV2024

Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video

Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma +1

Creating high-quality and interactive virtual environments, such as games and simulators, often involves complex and costly manual modeling processes. In this paper, we present Vid…

cs.CV2024

RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos

Hongchi Xia, Yang Fu, Sifei Liu +1

We introduce a new RGB-D object dataset captured in the wild called WildRGB-D. Unlike most existing real-world object-centric datasets which only come with RGB capturing, the direc…