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20242026
most citedLayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation

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

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Showing 2026Show all

7 papers · 1 filter

cs.CV2026

World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video

Liyuan Zhu, Shengyu Huang, Amrita Mazumdar +6

We present World from Motion, a method for generating freely renderable dynamic 3D Gaussian representations from monocular videos. Our approach conditions a video model on dense, p…

cs.CV2026

ReGenHuman: Re-Generating Human Appearances for Realistic Full-Body Video Anonymization

Adam Sun, Eshaan Barkataki, Arnold Milstein +2

Anonymizing human-centric video data is an understudied problem. Prior anonymization techniques either blur or redact pixels at the cost of realism and downstream utility, or gener…

cs.CV2026

Policy-based Foveated Imaging and Perception

Howard Xiao, Jan Ackermann, Boyang Deng +1

Ultra-high-resolution image sensors offer the potential to capture fine spatial details critical for many visual perception tasks, but acquiring and processing all pixels at full r…

cs.CV2026

Effective Multi-sensor Conditioning for Street-view Novel-view Synthesis

Zhengfei Kuang, Adam Sun, Liyuan Zhu +7

Modern vehicle platforms are equipped with a rich sensor suite, including LiDAR, calibrated multi-camera rigs, and accurate ego-motion, that in principle offers strong signal for r…

cs.CV2026

GaussFusion: Improving 3D Reconstruction in the Wild with A Geometry-Informed Video Generator

Liyuan Zhu, Manjunath Narayana, Michal Stary +3

We present GaussFusion, a novel approach for improving 3D Gaussian splatting (3DGS) reconstructions in the wild through geometry-informed video generation. GaussFusion mitigates co…

cs.CV2026

Infinite Gaze Generation for Videos with Autoregressive Diffusion

Jenna Kang, Colin Groth, Tong Wu +4

Predicting human gaze in video is fundamental to advancing scene understanding and multimodal interaction. While traditional saliency maps provide spatial probability distributions…

cs.CV2026

Image2Garment: Simulation-ready Garment Generation from a Single Image

Selim Emir Can, Jan Ackermann, Kiyohiro Nakayama +7

Estimating physically accurate, simulation-ready garments from a single image is challenging due to the absence of image-to-physics datasets and the ill-posed nature of this proble…