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20212024
most citedEfficient Geometry-aware 3D Generative Adversarial Networks

46 citations · 109 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

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.CV2024★ 4 cited

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.CV2023★ 14 cited

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization

Connor Z. Lin, Koki Nagano, Jan Kautz +5

There is a growing demand for the accessible creation of high-quality 3D avatars that are animatable and customizable. Although 3D morphable models provide intuitive control for ed…

cs.CV2022★ 8 cited

NeuForm: Adaptive Overfitting for Neural Shape Editing

Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein +2

Neural representations are popular for representing shapes, as they can be learned form sensor data and used for data cleanup, model completion, shape editing, and shape synthesis.…

cs.CV2022★ 25 cited

3D GAN Inversion for Controllable Portrait Image Animation

Connor Z. Lin, David B. Lindell, Eric R. Chan +1

Millions of images of human faces are captured every single day; but these photographs portray the likeness of an individual with a fixed pose, expression, and appearance. Portrait…

cs.CV2021★ 46 cited

Efficient Geometry-aware 3D Generative Adversarial Networks

Eric R. Chan, Connor Z. Lin, Matthew A. Chan +9

Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using only collections of single-view 2D photographs has been a long-standing challenge. Existing…

cs.CV2021★ 12 cited

ACORN: Adaptive Coordinate Networks for Neural Scene Representation

Julien N. P. Martel, David B. Lindell, Connor Z. Lin +3

Neural representations have emerged as a new paradigm for applications in rendering, imaging, geometric modeling, and simulation. Compared to traditional representations such as me…