Scene Generation

25 papers with code • 4 benchmarks • 4 datasets

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Greatest papers with code

Generative Adversarial Transformers

dorarad/gansformer 1 Mar 2021

We introduce the GANsformer, 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

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

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.

Image Generation Novel View Synthesis +1

Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Ha0Tang/LGGAN CVPR 2020

To tackle this issue, in this work we consider learning the scene generation in a local context, and correspondingly design a local class-specific generative network with semantic maps as a guidance, which separately constructs and learns sub-generators concentrating on the generation of different classes, and is able to provide more scene details.

Image Generation Scene Generation

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

Auto-Encoding Progressive Generative Adversarial Networks For 3D Multi Object Scenes

yunishi3/3D-FCR-alphaGAN 8 Mar 2019

The conventional 3D generative adversarial models are not efficient in generating multi object scenes, they usually tend to generate either one object or generate fuzzy results of multiple objects.

Representation Learning Scene Generation

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

lucidrains/pi-GAN-pytorch 2 Dec 2020

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

Image Generation Neural Rendering +1

Context-aware Frame-Semantic Role Labeling

microth/mateplus TACL 2015

Frame semantic representations have been useful in several applications ranging from text-to-scene generation, to question answering and social network analysis.

Question Answering Scene Generation +2