1 citations · 2 across the 7 of their papers we have counts for
10 papers
McSc: Motion-Corrective Preference Alignment for Video Generation with Self-Critic Hierarchical Reasoning
Qiushi Yang, Yingjie Chen, Yuan Yao +3
Text-to-video (T2V) generation has achieved remarkable progress in producing high-quality videos aligned with textual prompts. However, aligning synthesized videos with nuanced hum…
MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection
Qiushi Yang, Yuan Yao, Miaomiao Cui +1
The recent Segment Anything Model 2 (SAM2) has demonstrated exceptional capabilities in interactive object segmentation for both images and videos. However, as a foundational model…
GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior
Zichen Tang, Yuan Yao, Miaomiao Cui +2
Text-guided 3D human generation has advanced with the development of efficient 3D representations and 2D-lifting methods like Score Distillation Sampling (SDS). However, current me…
Towards Fine-grained Interactive Segmentation in Images and Videos
Yuan Yao, Qiushi Yang, Miaomiao Cui +1
The recent Segment Anything Models (SAMs) have emerged as foundational visual models for general interactive segmentation. Despite demonstrating robust generalization abilities, th…
Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation
Yingjie Chen, Yifang Men, Yuan Yao +2
Motion-controllable image animation is a fundamental task with a wide range of potential applications. Recent works have made progress in controlling camera or object motion via va…
MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling
Yifang Men, Yuan Yao, Miaomiao Cui +1
Character video synthesis aims to produce realistic videos of animatable characters within lifelike scenes. As a fundamental problem in the computer vision and graphics community,…
OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting
Penglei Gao, Kai Yao, Tiandi Ye +3
In this paper, we tackle the recently popular topic of generating 360-degree images given the conventional narrow field of view (NFoV) images that could be taken from a single came…
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
Yifang Men, Biwen Lei, Yuan Yao +3
We present En3D, an enhanced generative scheme for sculpting high-quality 3D human avatars. Unlike previous works that rely on scarce 3D datasets or limited 2D collections with imb…
DreaMoving: A Human Video Generation Framework based on Diffusion Models
Mengyang Feng, Jinlin Liu, Kai Yu +13
In this paper, we present DreaMoving, a diffusion-based controllable video generation framework to produce high-quality customized human videos. Specifically, given target identity…
FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content
Yang Liu, Cheng Yu, Lei Shang +17
Recent advancement in personalized image generation have unveiled the intriguing capability of pre-trained text-to-image models on learning identity information from a collection o…