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20232026
most citedA Survey: Learning Embodied Intelligence from Physical Simulators and World Models

1 citations · 2 across the 4 of their papers we have counts for

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cs.CV2026

DeCoPrune: Efficient KV-Cache Pruning for Autoregressive Video Diffusion via Denoising Consistency

Zeqi Xiao, Qingle Liu, Kaiwen Zhang +3

Autoregressive video diffusion supports streaming generation and interactive control, but its KV cache grows continuously with the generated history. Existing compression strategie…

cs.CV2025

StoryMem: Multi-shot Long Video Storytelling with Memory

Kaiwen Zhang, Liming Jiang, Angtian Wang +6

Visual storytelling requires generating multi-shot videos with cinematic quality and long-range consistency. Inspired by human memory, we propose StoryMem, a paradigm that reformul…

cs.CV2025

3D and 4D World Modeling: A Survey

Lingdong Kong, Yu Yang, Jianbiao Mei +20

World modeling has become a cornerstone in AI research, enabling agents to understand, represent, and predict the dynamic environments they inhabit. While prior work largely emphas…

cs.CV2025

Epona: Autoregressive Diffusion World Model for Autonomous Driving

Kaiwen Zhang, Zhenyu Tang, Xiaotao Hu +9

Diffusion models have demonstrated exceptional visual quality in video generation, making them promising for autonomous driving world modeling. However, existing video diffusion-ba…

cs.CV2023★ 1 cited

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

Kaiwen Zhang, Yifan Zhou, Xudong Xu +2

Diffusion models have achieved remarkable image generation quality surpassing previous generative models. However, a notable limitation of diffusion models, in comparison to GANs,…