most citedVchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

Yuhan Zhang, Long Zhuo, Ziyang Chu +5

Despite rapid advances in 3D content generation, quality assessment for the generated 3D assets remains challenging. Existing methods mainly rely on image-based metrics and operate…

cs.CV2025

Holistic Evaluation of Multimodal LLMs on Spatial Intelligence

Zhongang Cai, Yubo Wang, Qingping Sun +21

Multimodal models have achieved remarkable progress in recent years. Nevertheless, they continue to exhibit notable limitations in spatial understanding and reasoning, the very cap…

cs.CV2025

Video World Models with Long-term Spatial Memory

Tong Wu, Shuai Yang, Ryan Po +4

Emerging world models autoregressively generate video frames in response to actions, such as camera movements and text prompts, among other control signals. Due to limited temporal…

cs.CV2025

GenDoP: Auto-regressive Camera Trajectory Generation as a Director of Photography

Mengchen Zhang, Tong Wu, Jing Tan +3

Camera trajectory design plays a crucial role in video production, serving as a fundamental tool for conveying directorial intent and enhancing visual storytelling. In cinematograp…

cs.CV2025

3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models

Yuhan Zhang, Mengchen Zhang, Tong Wu +4

3D generation is experiencing rapid advancements, while the development of 3D evaluation has not kept pace. How to keep automatic evaluation equitably aligned with human perception…

cs.CV20251 cited

Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

Weichen Fan, Chenyang Si, Junhao Song +16

We present Vchitect-2.0, a parallel transformer architecture designed to scale up video diffusion models for large-scale text-to-video generation. The overall Vchitect-2.0 system h…