Browse SoTA > Computer Vision > Scene Generation

Scene Generation

11 papers with code · Computer Vision

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

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

8 Mar 2019yunishi3/3D-FCR-alphaGAN

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

Context-aware Frame-Semantic Role Labeling

TACL 2015 microth/mateplus

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 SEMANTIC ROLE LABELING STOCK PRICE PREDICTION

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

CVPR 2020 Ha0Tang/LGGAN

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

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

ICCV 2019 yzhou359/3DIndoor-SceneGraphNet

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

Semantic Bottleneck Scene Generation

26 Nov 2019azadis/SB-GAN

For the former, we use an unconditional progressive segmentation generation network that captures the distribution of realistic semantic scene layouts.

CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION SCENE GENERATION

A Layer-Based Sequential Framework for Scene Generation with GANs

2 Feb 20190zgur0/Seq_Scene_Gen

The visual world we sense, interpret and interact everyday is a complex composition of interleaved physical entities.

CONDITIONAL IMAGE GENERATION SCENE GENERATION

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

ICLR 2020 applied-ai-lab/genesis

Generative latent-variable models are emerging as promising tools in robotics and reinforcement learning.

LATENT VARIABLE MODELS SCENE GENERATION