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From the 1 of 14 linked papers with an AI index.

activity
20242026
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13 papers

cs.CV2026

Color Pass-Through via Camera-Display Coupling

Ruikang Li, Molin Li, Jiarui Wu +3

The paper introduces an end-to-end learned framework called Color Pass-Through that jointly calibrates a camera and its display as a coupled system to more accurately reproduce the…

cs.CV2026

4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture

Yutian Chen, Shi Guo, Tianshuo Yang +4

Reconstructing fast-dynamic scenes from multi-view videos is crucial for high-speed motion analysis and realistic 4D reconstruction. However, the majority of 4D capture systems are…

cs.CV2026

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders

Yitong Jiang, Hongjun Wang, Collin McCarthy +15

Vision foundation models are bottlenecked by the quadratic cost of self-attention, which limits usable resolution and increases the cost of large-scale pretraining. Subquadratic al…

cs.CV2026

CubeComposer: Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video

Lingen Li, Guangzhi Wang, Xiaoyu Li +5

Generating high-quality 360° panoramic videos from perspective input is one of the crucial applications for virtual reality (VR), whereby high-resolution videos are especially imp…

cs.CV2026

Uni-ISP: Toward Unifying the Learning of ISPs from Multiple Mobile Cameras

Lingen Li, Mingde Yao, Xingyu Meng +3

Modern end-to-end image signal processors (ISPs) can learn complex mappings from RAW/XYZ data to sRGB (and vice versa), opening new possibilities in image processing. However, the…

cs.CV2026

S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion

Yujin Wang, Jiarui Wu, Yichen Bian +2

The generalization of learning-based high dynamic range (HDR) fusion is often limited by the availability of training data, as collecting large-scale HDR images from dynamic scenes…