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20162022
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 226 across the 27 of their papers we have counts for

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36 papers · 1 filter

cs.CV2022

3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene

Animesh Karnewar, Oliver Wang, Tobias Ritschel +1

We introduce 3inGAN, an unconditional 3D generative model trained from 2D images of a single self-similar 3D scene. Such a model can be used to produce 3D "remixes" of a given scen…

cs.CV20221 cited

Search for Concepts: Discovering Visual Concepts Using Direct Optimization

Pradyumna Reddy, Paul Guerrero, Niloy J. Mitra

Finding an unsupervised decomposition of an image into individual objects is a key step to leverage compositionality and to perform symbolic reasoning. Traditionally, this problem…

cs.CV202225 cited

Motion Guided Deep Dynamic 3D Garments

Meng Zhang, Duygu Ceylan, Niloy J. Mitra

Realistic dynamic garments on animated characters have many AR/VR applications. While authoring such dynamic garment geometry is still a challenging task, data-driven simulation pr…

cs.CV20223 cited

Video2StyleGAN: Disentangling Local and Global Variations in a Video

Rameen Abdal, Peihao Zhu, Niloy J. Mitra +1

Image editing using a pretrained StyleGAN generator has emerged as a powerful paradigm for facial editing, providing disentangled controls over age, expression, illumination, etc.…

cs.CV2022

COFS: Controllable Furniture layout Synthesis

Wamiq Reyaz Para, Paul Guerrero, Niloy Mitra +1

Scalable generation of furniture layouts is essential for many applications in virtual reality, augmented reality, game development and synthetic data generation. Many existing met…

cs.CV2022

Neural Convolutional Surfaces

Luca Morreale, Noam Aigerman, Paul Guerrero +2

This work is concerned with a representation of shapes that disentangles fine, local and possibly repeating geometry, from global, coarse structures. Achieving such disentanglement…