8 citations · 11 across the 16 of their papers we have counts for
4 papers · 2 filters
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
Honglei Miao, Fan Ma, Ruijie Quan +2
Human motion generation driven by deep generative models has enabled compelling applications, but the ability of text-to-motion (T2M) models to produce realistic motions from text…
VividDreamer: Invariant Score Distillation For Hyper-Realistic Text-to-3D Generation
Wenjie Zhuo, Fan Ma, Hehe Fan +1
This paper presents Invariant Score Distillation (ISD), a novel method for high-fidelity text-to-3D generation. ISD aims to tackle the over-saturation and over-smoothing problems i…
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
Ruijie Quan, Wenguan Wang, Zhibo Tian +2
Reconstructing the viewed images from human brain activity bridges human and computer vision through the Brain-Computer Interface. The inherent variability in brain function betwee…
HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting
Zhenglin Zhou, Fan Ma, Hehe Fan +2
Creating digital avatars from textual prompts has long been a desirable yet challenging task. Despite the promising results achieved with 2D diffusion priors, current methods strug…