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From the 2 of 13 linked papers with an AI index.

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13 papers

cs.CV2026

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers

Chongjian Ge, Hanwen Jiang, Tianyu Wang +9

The paper presents Chimera, a hybrid visual diffusion transformer that processes text, image, and video tokens in a single raster-ordered stream using efficient attention mechanism…

cs.CV2026

Wonder: Video World Model Done Better

Jiacong Xu, Hanwen Jiang, Zhixin Shu +3

Wonder is a video world model that lets users explore a generated scene in real time by moving a virtual camera, using a dense coordinate conditioning and a sparse attention memory…

cs.CV2026

HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image

Hezhen Hu, Wangbo Zhao, Lanqing Guo +6

In this paper, we present HumanNOVA, a photorealistic, universal, and rapid model for generating 3D human avatars from a single RGB image. Achieving both photorealism and generaliz…

cs.CV2026

Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models

Yu Jiang, Hanwen Jiang, Ahmed Abdelkader +4

With the emergence of 3D foundation models, there is growing interest in fine-tuning them for downstream tasks, where LoRA is the dominant fine-tuning paradigm. As 3D datasets exhi…

cs.CV2026

MotiMotion: Motion-Controlled Video Generation with Visual Reasoning

Lee Hsin-Ying, Hanwen Jiang, Yiqun Mei +3

Current motion-controlled image-to-video generation models rigidly follow user-provided trajectories that are often sparse, imprecise, and causally incomplete. Such reliance often…

cs.CV2026

E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training

Qitao Zhao, Hao Tan, Qianqian Wang +5

Self-supervised pre-training has driven rapid progress in foundation models for language, 2D images, and video, yet remains largely unexplored for learning 3D-aware representations…