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20242026
most citedDecoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models

1 citations · 2 across the 6 of their papers we have counts for

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cs.CV2026

HumanScore: Benchmarking Human Motions in Generated Videos

Yusu Fang, Tiange Xiang, Tian Tan +4

Recent advances in model architectures, compute, and data scale have driven rapid progress in video generation, producing increasingly realistic content. Yet, no prior method syste…

cs.CV2025

Repurposing 2D Diffusion Models for 3D Shape Completion

Yao He, Youngjoong Kwon, Tiange Xiang +2

We present a framework that adapts 2D diffusion models for 3D shape completion from incomplete point clouds. While text-to-image diffusion models have achieved remarkable success w…

cs.CV2025

ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body

Juze Zhang, Changan Chen, Xin Chen +5

Human communication is inherently multimodal and social: words, prosody, and body language jointly carry intent. Yet most prior systems model human behavior as a translation task c…

cs.CV2025

SocialGen: Modeling Multi-Human Social Interaction with Language Models

Heng Yu, Juze Zhang, Changan Chen +4

Human interactions in everyday life are inherently social, involving engagements with diverse individuals across various contexts. Modeling these social interactions is fundamental…

cs.CV2025

Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation

Tiange Xiang, Kai Li, Chengjiang Long +5

Recent advances in text-to-image diffusion models have been driven by the increasing availability of paired 2D data. However, the development of 3D diffusion models has been hinder…

cs.CV2024★ 1 cited

Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models

Yanchen Wang, Adam Turnbull, Tiange Xiang +6

Neural decoding, the process of understanding how brain activity corresponds to different stimuli, has been a primary objective in cognitive sciences. Over the past three decades,…

cs.CV2024

OccFusion: Rendering Occluded Humans with Generative Diffusion Priors

Adam Sun, Tiange Xiang, Scott Delp +2

Most existing human rendering methods require every part of the human to be fully visible throughout the input video. However, this assumption does not hold in real-life settings w…

cs.CV2024★ 1 cited

Wild2Avatar: Rendering Humans Behind Occlusions

Tiange Xiang, Adam Sun, Scott Delp +3

Rendering the visual appearance of moving humans from occluded monocular videos is a challenging task. Most existing research renders 3D humans under ideal conditions, requiring a…