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20242026
most citedGradient Descent Provably Solves Nonlinear Tomographic Reconstruction

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cs.CV2026

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training

Yang Zheng, Hao Tan, Kai Zhang +4

The rise of 3D Gaussian Splatting has revolutionized photorealistic 3D asset creation, yet a critical gap remains for their interactive refinement and editing. Existing approaches…

cs.CV20261 cited

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction

Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein +2

In computed tomography (CT), the forward model consists of a linear Radon transform followed by an exponential nonlinearity based on the attenuation of light according to the Beer-…

cs.CV2025

CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Hao He, Yinghao Xu, Yuwei Guo +4

Controllability plays a crucial role in video generation, as it allows users to create and edit content more precisely. Existing models, however, lack control of camera pose that s…

cs.CV2025

3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation

Hansheng Chen, Bokui Shen, Yulin Liu +7

Multi-view image diffusion models have significantly advanced open-domain 3D object generation. However, most existing models rely on 2D network architectures that lack inherent 3D…

cs.CV2025

GazeFusion: Saliency-Guided Image Generation

Yunxiang Zhang, Nan Wu, Connor Z. Lin +2

Diffusion models offer unprecedented image generation power given just a text prompt. While emerging approaches for controlling diffusion models have enabled users to specify the d…

cs.CV2024

Evolutive Rendering Models

Fangneng Zhan, Hanxue Liang, Yifan Wang +6

The landscape of computer graphics has undergone significant transformations with the recent advances of differentiable rendering models. These rendering models often rely on heuri…