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20242026
most citedInFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

4 citations · 5 across the 21 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

DiVA: Enabling Interactive Digital Life Simulation via Video Models

Cheng Chen, Hao Ouyang, Qiuyu Wang +11

We present DiVA, a deeply interactive digital life simulator pioneering a new paradigm for long-term, open-ended interactive experiences within digital character worlds. DiVA's arc…

cs.CV2026

CameraAnything: Refilming Videos with Arbitrary Camera Control

Yixuan Li, Yanhong Zeng, Ka Leong Cheng +11

We introduce CameraAnything, the first unified framework for camera controlled video editing that enables joint control of both intrinsic and extrinsic camera parameters. Existing…

cs.RO2026

Native Video-Action Pretraining for Generalizable Robot Control

Qihang Zhang, Lin Li, Luyao Zhang +26

The advent of video-action models offers a promising path for robot control. Nevertheless, we argue that repurposing video generative models designed for digital content creation i…

cs.CV2026

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

Shuailei Ma, Jiaqi Liao, Xinyang Wang +24

Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their primary focus on content creation. For example, their design inheren…

cs.CV2026

Infinite Worlds with Versatile Interactions

Zelin Gao, Qiuyu Wang, Jiapeng Zhu +17

We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. (1) Our model achieves an unbounded in…

cs.CV2026

WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory

Hanlin Wang, Hao Ouyang, Qiuyu Wang +10

We present WorldDirector, a highly controllable video world model framework designed for persistent dynamic object memory and unrestricted viewpoint exploration. Unlike existing wo…

cs.CV2026

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

Yihao Meng, Zichen Liu, Hao Ouyang +11

Autoregressive video generation aims at real-time, open-ended synthesis. Yet, cinematic storytelling is not merely the endless extension of a single scene; it requires progressing…

cs.CV2026

LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction

Lin-Zhuo Chen, Jian Gao, Shangzhan Zhang +9

Streaming 3D reconstruction aims to recover 3D information, such as camera poses and point clouds, from a video stream, which necessitates geometric accuracy, temporal consistency,…

cs.CV2026

Advancing Open-source World Models

Robbyant Team, Zelin Gao, Qiuyu Wang +21

We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It…