activity
20242026
collaborators

21 papers

cs.CV2026

Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability

Shizhan Liu, Xinran Deng, Zhuoyi Yang +3

Latent diffusion models pair VAEs with diffusion backbones, and the structure of VAE latents strongly influences the difficulty of diffusion training. However, existing video VAEs…

cs.CV2026

Video2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit

Mingde Xu, Zhen Yang, Yan Wang +7

UI videos provide a natural input for generating interactive webpages, as they capture both webpage appearance and action-triggered state transitions. However, directly applying vi…

cs.CV2026

UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization

Zhen Yang, Wenyi Hong, Mingde Xu +5

UI-to-code aims to translate UI screenshots into executable front-end code. Despite progress with vision-language models (VLMs), most existing methods formulate UI-to-code as a sin…

cs.CV2026

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

V Team, Wenyi Hong, Xiaotao Gu +94

We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depen…

cs.CV2026

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

Wenyi Hong, Yean Cheng, Zhuoyi Yang +6

In recent years, vision language models (VLMs) have made significant advancements in video understanding. However, a crucial capability - fine-grained motion comprehension - remain…

cs.CL2026

HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing

Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo +7

Evaluating the writing capabilities of large language models (LLMs) remains a significant challenge due to the multidimensional nature of writing skills and the limitations of exis…