Scene Generation

115 papers with code • 6 benchmarks • 9 datasets

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Libraries

Use these libraries to find Scene Generation models and implementations
3 papers
1,342

Most implemented papers

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.

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.

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

amazon-research/indoor-scene-generation-eai 10 Nov 2021

However, current simulators for Embodied AI (EAI) challenges only provide simulated indoor scenes with a limited number of layouts.

ROOT: VLM based System for Indoor Scene Understanding and Beyond

harrytea/root 24 Nov 2024

To train our SceneVLM, we collect over 610, 000 images from various public indoor datasets and implement a scene data generation pipeline with a semi-automated technique to establish relationships and estimate distances among indoor objects.

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.

LayoutVAE: Stochastic Scene Layout Generation From a Label Set

kampta/DeepLayout ICCV 2019

Recently there is an increasing interest in scene generation within the research community.

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

yzhou359/3DIndoor-SceneGraphNet 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.

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

applied-ai-lab/genesis ICLR 2020

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

Specifying Object Attributes and Relations in Interactive Scene Generation

ashual/scene_generation ICCV 2019

We introduce a method for the generation of images from an input scene graph.

Semantic Bottleneck Scene Generation

azadis/SB-GAN 26 Nov 2019

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