1 citations · 2 across the 15 of their papers we have counts for
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Stable Curves, Unstable Items: Item-Level Scaling Heterogeneity in Video LLMs
Wenzhang Sun, Chunfeng Wang, Xiangchen Yin +3
Aggregate scaling curves suggest that Video LLMs improve smoothly or saturate as visual budgets grow. We show that this view can conceal large, opposing changes at the item level.…
Holo-World: Unified Camera, Object and Weather Control for Video World Model
Xiangchen Yin, Wenzhang Sun, Jiahui Yuan +6
Video world models are moving toward preserving an observed world under controllable camera and object motion while allowing its environmental state to change. Yet these controls r…
Preserve, Reveal, Expand: Towards Faithful 4D Video Editing with Region-Aware Conditioning and Benchmarking
Zhangchi Hu, Wenzhang Sun, Xiangchen Yin +5
While 4D-driven video diffusion models can generate visually plausible videos, faithful 4D editing poses a stricter requirement: source-observed content should be preserved, while…
RiO-DETR: DETR for Real-time Oriented Object Detection
Zhangchi Hu, Yifan Zhao, Yansong Peng +8
We present RiO-DETR: DETR for Real-time Oriented Object Detection, the first real-time oriented detection transformer to the best of our knowledge. Adapting DETR to oriented boundi…
MUSE: A Multi-agent Framework for Unconstrained Story Envisioning via Closed-Loop Cognitive Orchestration
Wenzhang Sun, Zhenyu Wang, Zhangchi Hu +3
Generating long-form audio-visual stories from a short user prompt remains challenging due to an intent-execution gap, where high-level narrative intent must be preserved across co…
DeCo-VAE: Learning Compact Latents for Video Reconstruction via Decoupled Representation
Xiangchen Yin, Jiahui Yuan, Zhangchi Hu +5
Existing video Variational Autoencoders (VAEs) generally overlook the similarity between frame contents, leading to redundant latent modeling. In this paper, we propose decoupled V…
DrivingScene: A Multi-Task Online Feed-Forward 3D Gaussian Splatting Method for Dynamic Driving Scenes
Qirui Hou, Wenzhang Sun, Chang Zeng +3
Real-time, high-fidelity reconstruction of dynamic driving scenes is challenged by complex dynamics and sparse views, with prior methods struggling to balance quality and efficienc…
PAGS: Priority-Adaptive Gaussian Splatting for Dynamic Driving Scenes
Ying A, Wenzhang Sun, Chang Zeng +3
Reconstructing dynamic 3D urban scenes is crucial for autonomous driving, yet current methods face a stark trade-off between fidelity and computational cost. This inefficiency stem…
ChronoTailor: Harnessing Attention Guidance for Fine-Grained Video Virtual Try-On
Jinjuan Wang, Wenzhang Sun, Ming Li +7
Video virtual try-on aims to seamlessly replace the clothing of a person in a source video with a target garment. Despite significant progress in this field, existing approaches st…
MotionStrata: Hierarchical Motion Latents for Compact Video Autoencoding
Wenzhang Sun, Huaize Liu, Chunfeng Wang +3
First-frame-conditioned video autoencoders represent a clip with persistent content and a compact motion code. Although this removes much of the appearance redundancy, the remainin…
A Self-supervised Motion Representation for Portrait Video Generation
Qiyuan Zhang, Chenyu Wu, Wenzhang Sun +4
Recent advancements in portrait video generation have been noteworthy. However, existing methods rely heavily on human priors and pre-trained generative models, Motion representati…
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation
Wenzhang Sun, Qirui Hou, Donglin Di +3
Diffusion Transformers (DiT) excel in video generation but encounter significant computational challenges due to the quadratic complexity of attention. Notably, attention differenc…
MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
Huaize Liu, Wenzhang Sun, Donglin Di +4
The generation of talking avatars has achieved significant advancements in precise audio synchronization. However, crafting lifelike talking head videos requires capturing a broad…
UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control
Wenzhang Sun, Xiang Li, Donglin Di +5
Recently, animating portrait images using audio input is a popular task. Creating lifelike talking head videos requires flexible and natural movements, including facial and head dy…
TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt
Jiahui Yang, Donglin Di, Baorui Ma +8
In recent years, advancements in generative models have significantly expanded the capabilities of text-to-3D generation. Many approaches rely on Score Distillation Sampling (SDS)…
DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation
Donglin Di, He Feng, Wenzhang Sun +6
Human-centric generative models are becoming increasingly popular, giving rise to various innovative tools and applications, such as talking face videos conditioned on text or audi…