Scene Generation

32 papers with code • 4 benchmarks • 4 datasets

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Greatest papers with code

Compositional Transformers for Scene Generation

dorarad/gansformer NeurIPS 2021

We introduce the GANformer2 model, an iterative object-oriented transformer, explored for the task of generative modeling.

Scene Generation

Compositional Transformers for Scene Generation

dorarad/gansformer NeurIPS 2021

We introduce the GANformer2 model, an iterative object-oriented transformer, explored for the task of generative modeling.

Scene Generation

Generative Adversarial Transformers

dorarad/gansformer 1 Mar 2021

We introduce the GANformer, a novel and efficient type of transformer, and explore it for the task of visual generative modeling.

 Ranked #1 on Image Generation on FFHQ (FID-10k-training-steps metric)

Image Generation Scene Generation

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

yzhou359/MakeItTalk ICCV 2019

In this paper we propose a neural message passing approach to augment an input 3D indoor scene with new objects matching their surroundings.

3D Object Recognition Scene Generation

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

autonomousvision/graf NeurIPS 2020

In contrast to voxel-based representations, radiance fields are not confined to a coarse discretization of the 3D space, yet allow for disentangling camera and scene properties while degrading gracefully in the presence of reconstruction ambiguity.

3D-Aware Image Synthesis Novel View Synthesis +1

pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

marcoamonteiro/pi-GAN CVPR 2021

We have witnessed rapid progress on 3D-aware image synthesis, leveraging recent advances in generative visual models and neural rendering.

3D-Aware Image Synthesis Neural Rendering +1

Unconstrained Scene Generation with Locally Conditioned Radiance Fields

apple/ml-gsn ICCV 2021

In this paper, we introduce Generative Scene Networks (GSN), which learns to decompose scenes into a collection of many local radiance fields that can be rendered from a free moving camera.

Scene Generation

Funnel Activation for Visual Recognition

megvii-model/FunnelAct ECCV 2020

We present a conceptually simple but effective funnel activation for image recognition tasks, called Funnel activation (FReLU), that extends ReLU and PReLU to a 2D activation by adding a negligible overhead of spatial condition.

Scene Generation Semantic Segmentation

Scenic: A Language for Scenario Specification and Scene Generation

BerkeleyLearnVerify/Scenic 25 Sep 2018

We propose a new probabilistic programming language for the design and analysis of perception systems, especially those based on machine learning.

Probabilistic Programming Scene Generation +1