7 citations · 10 across the 12 of their papers we have counts for
13 papers
Seeing is Coding: On the Effectiveness of Vision Language Models in Code Understanding
Yuling Shi, Chaoxiang Xie, Zhensu Sun +7
Large Language Models (LLMs) have achieved remarkable success in source code understanding, yet as software systems grow in scale, computational efficiency has become a critical bo…
Plan-X: Instruct Video Generation via Semantic Planning
Lun Huang, You Xie, Hongyi Xu +7
Diffusion Transformers have demonstrated remarkable capabilities in visual synthesis, yet they often struggle with high-level semantic reasoning and long-horizon planning. This lim…
X-Streamer: Unified Human World Modeling with Audiovisual Interaction
You Xie, Tianpei Gu, Zenan Li +7
We introduce X-Streamer, an end-to-end multimodal human world modeling framework for building digital human agents capable of infinite interactions across text, speech, and video w…
X-UniMotion: Animating Human Images with Expressive, Unified and Identity-Agnostic Motion Latents
Guoxian Song, Hongyi Xu, Xiaochen Zhao +5
We present X-UniMotion, a unified and expressive implicit latent representation for whole-body human motion, encompassing facial expressions, body poses, and hand gestures. Unlike…
X-Actor: Emotional and Expressive Long-Range Portrait Acting from Audio
Chenxu Zhang, Zenan Li, Hongyi Xu +8
We present X-Actor, a novel audio-driven portrait animation framework that generates lifelike, emotionally expressive talking head videos from a single reference image and an input…
X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention
Xiaochen Zhao, Hongyi Xu, Guoxian Song +6
We propose X-NeMo, a novel zero-shot diffusion-based portrait animation pipeline that animates a static portrait using facial movements from a driving video of a different individu…
X-Dancer: Expressive Music to Human Dance Video Generation
Zeyuan Chen, Hongyi Xu, Guoxian Song +6
We present X-Dancer, a novel zero-shot music-driven image animation pipeline that creates diverse and long-range lifelike human dance videos from a single static image. As its core…
X-Dyna: Expressive Dynamic Human Image Animation
Di Chang, Hongyi Xu, You Xie +12
We introduce X-Dyna, a novel zero-shot, diffusion-based pipeline for animating a single human image using facial expressions and body movements derived from a driving video, that g…
Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion
Fan Yang, Jianfeng Zhang, Yichun Shi +7
Benefiting from the rapid development of 2D diffusion models, 3D content generation has witnessed significant progress. One promising solution is to finetune the pre-trained 2D dif…
Sora Generates Videos with Stunning Geometrical Consistency
Xuanyi Li, Daquan Zhou, Chenxu Zhang +3
The recently developed Sora model [1] has exhibited remarkable capabilities in video generation, sparking intense discussions regarding its ability to simulate real-world phenomena…
AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text
Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang +4
We study the problem of creating high-fidelity and animatable 3D avatars from only textual descriptions. Existing text-to-avatar methods are either limited to static avatars which…
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew +5
This paper studies the human image animation task, which aims to generate a video of a certain reference identity following a particular motion sequence. Existing animation works t…
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Spencer Teetaert, Wenda Zhao, Niu Xinyuan +21
Shared benchmark problems have historically been a fundamental driver of progress for scientific communities. In the context of academic conferences, competitions offer the opportu…