paper-with-me

Scene Generation

6개 벤치마크 · 논문 530편 · 이 태스크의 논문 보기 →

Benchmarks

GoogleEarth

결과 10개

AVD

결과 6개

Replica

결과 6개

VizDoom

결과 6개

OSM

결과 4개

KITTI

결과 2개

Most implemented

Funnel Activation for Visual Recognition

2020-07-23 · 구현 7개

GPD-1: Generative Pre-training for Driving

2024-12-11 · 구현 2개

Papers

Tetris3D: 3D Scene Generation With Objects That Fit Together

2026-10-07 · Jaeyeong Kim, Jinhyuk Jang, Jongmin Lee, Kyehong Park 외 hf

We propose Tetris3D, a generative framework for single-image 3D scene reconstruction that recovers objects which are physically and geometrically coherent as a scene. Existing methods often generate objects independently…

Scene Generation

EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in Simulation

2026-10-06 · Yikai Qin, Yifei Deng, Mingjian Liang, Wenxuan Song 외 hf

Scaling robotic foundation models requires diverse training data and reliable evaluation environments. Simulation offers a scalable solution, yet existing generation pipelines remain constrained by predefined assets and …

Scene Generation

Building Rome from a Single Image

2026-10-06 · Jiraphon Yenphraphai, Fang Li, Tianshuo Xu, Depu Meng 외 hf

Single-image scene generation aims to produce a complete 3D scene mesh from a single image, including surfaces the camera did not observe. While pretrained 3D object generators encode a strong shape prior, they are mainl…

Scene Generation

DistScene: Object-to-Scene Distillation for 3D Scene Generation

2026-10-03 · Kunming Luo, Hongyu Yan, Ken Deng, Chengcheng Zhou 외 hf

We present DistScene, a framework for single-image compositional 3D scene generation by jointly modeling the environment and individual objects. Unlike existing methods that represent scenes primarily as collections of o…

Scene Generation

SPHERE: Adaptive VR Indoor Scene Generation via LLM-Enhanced Spatial Preference Learning and Human-in-the-Loop RL

2026-10-01 · Hyeonmin Lee, Zheng Wei, Kyungmin Kwon, Jumin Seo 외 arxiv

While Large Language Models (LLMs) advance 3D indoor scene synthesis, current pipelines fail to retain user-specific preferences across sessions, making immersive authoring a repetitive and physically fatiguing process. …

Reinforcement LearningIndoor Scene SynthesisScene Generation

Personalized Image Generation with Reasoning and Reflection

2026-09-30 · Bo Ni, Ngoc N. Tran, Qinwen Ge, Franck Dernoncourt 외 hf

Personalized image generation has remained narrowly focused on conditional synthesis from curated visual exemplars, rather than capturing who a user is. In practice, however, a user's personal context is much richer, com…

Personalized Image GenerationScene Generation

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