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cs.CV2026

Visual General Intelligence: A White Paper

Hirokatsu Kataoka, Yoshihiro Fukuhara, Yonglong Tian +18

This paper reconsiders intelligence from a vision-centered perspective and examines whether intelligence emerging from visual experience and learning may provide a pathway toward A…

cs.CV2026

Go-with-the-Track: Video Compositing and Motion Control with Point Tracking

Koichi Namekata, Yash Kant, Zhizheng Liu +9

Filmmaking demands precise motion control and reference image compositing -- capabilities that existing methods treat separately. Point-track-conditioned image-to-video models rest…

cs.CV2026

Vista4D: Video Reshooting with 4D Point Clouds

Kuan Heng Lin, Zhizheng Liu, Pablo Salamanca +9

We present Vista4D, a robust and flexible video reshooting framework that grounds the input video and target cameras in a 4D point cloud. Specifically, given an input video, our me…

cs.CV2024

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation

Koichi Namekata, Sherwin Bahmani, Ziyi Wu +3

Methods for image-to-video generation have achieved impressive, photo-realistic quality. However, adjusting specific elements in generated videos, such as object motion or camera m…

cs.CV2024

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models

Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler +1

Diffusion models have recently received increasing research attention for their remarkable transfer abilities in semantic segmentation tasks. However, generating fine-grained segme…