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Chaoran Feng

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#computer vision Nov 2025

Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward

UniSandbox, a decoupled evaluation framework paired with controlled, synthetic datasets to avoid data leakage and enable detailed analysis, reveals a significant understanding-generation gap, which is mainly reflected in two key dimensions: reasoning generation and knowledge transfer.

Yu-Wei Niu, Weiyang Jin, Jiaqi Liao et al. · 10 citations
#artificial intelligence Preprint Sep 2026

WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory

WorldCrafter is a video world model that learns a camera-queryable implicit 3D-aware memory that enables streaming scene exploration from a single input image or text prompt and shows substantial gains in long-horizon consistency and camera-control accuracy while preserving visual quality during minute-scale exploratio...

Wang-Bo Yu, Kunhao Liu, Wen-Bo Hu et al. · 1 citation
Preprint Aug 2026

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models

UniWorld-View is introduced, a unified framework for controllable large-baseline novel view synthesis from monocular inputs that integrates explicit 3D guidance with generative diffusion modeling to enable precise camera control and geometrically consistent view generation.

Hai-Yang Zhou, Wang-Bo Yu, Chaoran Feng et al. · 2 citations
Preprint Jul 2026

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

LingBot-Video is presented, a DiT-based video pretraining paradigm specifically tailored for embodied intelligence, and is contributed as the inaugural large-scale, open-source MoE video foundation model to the community, in a pioneering effort to bridge digital creativity and physical actuation.

Shuailei Ma, Jiaqi Liao, Xinyang Wang et al. · 7 citations · ⚡1

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