2 citations · 3 across the 10 of their papers we have counts for
11 papers · 1 filter
RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization
Kahim Wong, Kemou Li, Yiming Chen +2
As AI-assisted image editing becomes increasingly prevalent, Text-Centric Image Forgery Localization (TFL) is essential for protecting trust in financial and legal records. However…
Vidu S1: A Real-Time Interactive Video Generation Model
Jintao Zhang, Kai Jiang, Jintao Chen +24
We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters. Users can control video generation content at any moment throug…
PhysiFormer: Learning to Simulate Mechanics in World Space
Yiming Chen, Yushi Lan, Andrea Vedaldi
We present PhysiFormer, a diffusion transformer for physically-plausible 3D object motion. Unlike video world models that operate in view-dependent pixel space, PhysiFormer represe…
SEED: Simple ViT and Evolving Harness for Explainable Text Forgery Detection
Kahim Wong, Kemou Li, Yiming Chen +2
AI-assisted image editing threatens trust in financial, legal, and identity records. The GenText-Forensics Challenge at ACM MM 2026 addresses this by requiring structured forensic…
minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models
Min Zhao, Hongzhou Zhu, Bokai Yan +13
Recent video diffusion foundation models have achieved remarkable progress in high-quality video generation, yet turning them into real-time interactive video world models remains…
Reasoning in Space via Grounding in the World
Yiming Chen, Zekun Qi, Wenyao Zhang +3
In this paper, we claim that 3D visual grounding is the cornerstone of spatial reasoning and introduce the Grounded-Spatial Reasoner (GS-Reasoner) to explore the effective spatial…
VicaSplat: A Single Run is All You Need for 3D Gaussian Splatting and Camera Estimation from Unposed Video Frames
Zhiqi Li, Chengrui Dong, Yiming Chen +2
We present VicaSplat, a novel framework for joint 3D Gaussians reconstruction and camera pose estimation from a sequence of unposed video frames, which is a critical yet underexplo…
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
Zhiqi Li, Yiming Chen, Peidong Liu
Recent advancements in 2D/3D generative techniques have facilitated the generation of dynamic 3D objects from monocular videos. Previous methods mainly rely on the implicit neural…
Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
Zhiqi Li, Yiming Chen, Lingzhe Zhao +1
While text-to-3D and image-to-3D generation tasks have received considerable attention, one important but under-explored field between them is controllable text-to-3D generation, w…
ET3D: Efficient Text-to-3D Generation via Multi-View Distillation
Yiming Chen, Zhiqi Li, Peidong Liu
Recent breakthroughs in text-to-image generation has shown encouraging results via large generative models. Due to the scarcity of 3D assets, it is hardly to transfer the success o…
MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation
Zhiqi Li, Yiming Chen, Lingzhe Zhao +1
We introduce MVControl, a novel neural network architecture that enhances existing pre-trained multi-view 2D diffusion models by incorporating additional input conditions, e.g. edg…