activity
20222026
most citedDynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

6 citations · 16 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

VerseCrafter: Dynamic Realistic Video World Model with 4D Geometric Control

Sixiao Zheng, Minghao Yin, Wenbo Hu +3

Video world models aim to simulate dynamic, real-world environments, yet existing methods struggle to provide unified and precise control over camera and multi-object motion, as vi…

cs.CV2025★ 1 cited

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?

Junhao Cheng, Yuying Ge, Teng Wang +3

Recent advances in CoT reasoning and RL post-training have been reported to enhance video reasoning capabilities of MLLMs. This progress naturally raises a question: can these mode…

cs.CV2024

NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images

Lingen Li, Zhaoyang Zhang, Yaowei Li +7

Recent advancements in generative models have significantly improved novel view synthesis (NVS) from multi-view data. However, existing methods depend on external multi-view alignm…

cs.RO2024

Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos

Yi Chen, Yuying Ge, Weiliang Tang +5

Recent developments in Large Language Models pre-trained on extensive corpora have shown significant success in various natural language processing tasks with minimal fine-tuning.…

cs.CV2024

NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model

Jinpeng Liu, Jiale Xu, Weihao Cheng +4

We introduce NovelGS, a diffusion model for Gaussian Splatting (GS) given sparse-view images. Recent works leverage feed-forward networks to generate pixel-aligned Gaussians, which…

cs.CV2024

DOGR: Towards Versatile Visual Document Grounding and Referring

Yinan Zhou, Yuxin Chen, Haokun Lin +6

With recent advances in Multimodal Large Language Models (MLLMs), grounding and referring capabilities have gained increasing attention for achieving detailed understanding and fle…

cs.CV2024★ 3 cited

ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Wangbo Yu, Jinbo Xing, Li Yuan +7

Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. In this work, we propose \textbf{ViewCra…

cs.CV2023★ 6 cited

DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Jinbo Xing, Menghan Xia, Yong Zhang +6

Animating a still image offers an engaging visual experience. Traditional image animation techniques mainly focus on animating natural scenes with stochastic dynamics (e.g. clouds…

cs.CV2023★ 1 cited

ViT-Lens: Towards Omni-modal Representations

Weixian Lei, Yixiao Ge, Kun Yi +6

Aiming to advance AI agents, large foundation models significantly improve reasoning and instruction execution, yet the current focus on vision and language neglects the potential…

cs.CV2022★ 5 cited

CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation

Ziqi Zhang, Yuxin Chen, Zongyang Ma +5

Previous works of video captioning aim to objectively describe the video's actual content, which lacks subjective and attractive expression, limiting its practical application scen…