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20242026
most citedVideoTetris: Towards Compositional Text-to-Video Generation

1 citations · 1 across the 8 of their papers we have counts for

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cs.CV2026

ReflectWorld-MM: An Entity-Oriented Multimodal Memory System for Open-Ended Video Streams

Xiaokang Ma, Yifan Sun, Zhihong Jin +6

Building assistants that can continually watch the world, remember what they see, and reason over their accumulated experience is a long-standing goal, and recently multimodal agen…

cs.CV2026

DeformMaster: An Interactive Physics-Neural World Model for Deformable Objects from Videos

Can Li, Zhoujian Li, Ren Li +4

World models for deformable objects should recover not only geometry and appearance, but also underlying physical dynamics, interaction grounding, and material behavior. Learning s…

cs.CV2026

Gaussian Sequences with Multi-Scale Dynamics for 4D Reconstruction from Monocular Casual Videos

Can Li, Jie Gu, Jingmin Chen +2

Understanding dynamic scenes from casual videos is critical for scalable robot learning, yet four-dimensional (4D) reconstruction under strictly monocular settings remains highly i…

cs.CV2025

Task-Related Token Compression in Multimodal Large Language Models from an Explainability Perspective

Lei Lei, Jie Gu, Xiaokang Ma +3

Existing Multimodal Large Language Models (MLLMs) process a large number of visual tokens, leading to significant computational costs and inefficiency. Instruction-related visual t…

cs.CV2024★ 1 cited

VideoTetris: Towards Compositional Text-to-Video Generation

Ye Tian, Ling Yang, Haotian Yang +9

Diffusion models have demonstrated great success in text-to-video (T2V) generation. However, existing methods may face challenges when handling complex (long) video generation scen…