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Papers 3D-Aware Image Synthesis

“3D-Aware Image Synthesis” 태그가 달린 논문 48편 · 필터 해제

FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields

2025-03-21 · CVPR 2025 1 · Kwan Yun, Chaelin Kim, Hangyeul Shin, Junyong Noh

Recent 3D face editing methods using masks have produced high-quality edited images by leveraging Neural Radiance Fields (NeRF). Despite their impressive performance, existing methods often provide limited user control d…

3D-Aware Image SynthesisFace GenerationNeRF

SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesis

2025-01-12 · Peng Zheng, Linzhi Huang, Yizhou Yu, Yi Chang 외

Neural volume rendering techniques, such as NeRF, have revolutionized 3D-aware image synthesis by enabling the generation of images of a single scene or object from various camera poses. However, the high computational c…

3D-Aware Image SynthesisImage GenerationNeRFSuper-Resolution

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats

2024-06-05 · Sangeek Hyun, Jae-Pil Heo

Most advances in 3D Generative Adversarial Networks (3D GANs) largely depend on ray casting-based volume rendering, which incurs demanding rendering costs. One promising alternative is rasterization-based 3D Gaussian Spl…

3D-Aware Image Synthesis3D GenerationGenerative Adversarial NetworkNeural Rendering+1

ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis

2024-04-21 · Zichen Tang, Hongyu Yang

Recent advances in generative visual models and neural radiance fields have greatly boosted 3D-aware image synthesis and stylization tasks. However, previous NeRF-based work is limited to single scene stylization, traini…

3D-Aware Image SynthesisContrastive LearningFace GenerationImage Generation+3

SemanticHuman-HD: High-Resolution Semantic Disentangled 3D Human Generation

2024-03-15 · Peng Zheng, Tao Liu, Zili Yi, Rui Ma

With the development of neural radiance fields and generative models, numerous methods have been proposed for learning 3D human generation from 2D images. These methods allow control over the pose of the generated 3D hum…

3D-Aware Image SynthesisDisentanglementImage GenerationSuper-Resolution

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space

2023-11-22 · Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler 외

Modern learning-based approaches to 3D-aware image synthesis achieve high photorealism and 3D-consistent viewpoint changes for the generated images. Existing approaches represent instances in a shared canonical space. Ho…

3D-Aware Image Synthesis3D geometryDepth EstimationDepth Prediction+2

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase

2023-06-21 · NeurIPS 2023 11 · Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu 외

Despite the rapid advance of 3D-aware image synthesis, existing studies usually adopt a mixture of techniques and tricks, leaving it unclear how each part contributes to the final performance in terms of generality. Foll…

3D-Aware Image SynthesisBenchmarkingGenerative Adversarial NetworkImage Generation+1

Semantic-aware Generation of Multi-view Portrait Drawings

2023-05-04 · Biao Ma, Fei Gao, Chang Jiang, Nannan Wang 외

Neural radiance fields (NeRF) based methods have shown amazing performance in synthesizing 3D-consistent photographic images, but fail to generate multi-view portrait drawings. The key is that the basic assumption of the…

3D-Aware Image SynthesisData AugmentationImage GenerationNeRF

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

2023-04-13 · ICCV 2023 1 · Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian 외

3D-aware image synthesis encompasses a variety of tasks, such as scene generation and novel view synthesis from images. Despite numerous task-specific methods, developing a comprehensive model remains challenging. In thi…

3D-Aware Image Synthesis3D Generation3D ReconstructionDecoder+4

Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images

2023-04-13 · Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen 외

Diffusion models have recently become the de-facto approach for generative modeling in the 2D domain. However, extending diffusion models to 3D is challenging due to the difficulties in acquiring 3D ground truth data for…

3D-Aware Image SynthesisImage Generation

BlobGAN-3D: A Spatially-Disentangled 3D-Aware Generative Model for Indoor Scenes

2023-03-26 · Qian Wang, Yiqun Wang, Michael Birsak, Peter Wonka

3D-aware image synthesis has attracted increasing interest as it models the 3D nature of our real world. However, performing realistic object-level editing of the generated images in the multi-object scenario still remai…

3D-Aware Image SynthesisDisentanglementImage GenerationObject

UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields

2023-03-24 · ICCV 2023 1 · Yuanbo Yang, Yifei Yang, Hanlei Guo, Rong Xiong 외

Generating photorealistic images with controllable camera pose and scene contents is essential for many applications including AR/VR and simulation. Despite the fact that rapid progress has been made in 3D-aware generati…

3D-Aware Image SynthesisImage GenerationObject

SDF-3DGAN: A 3D Object Generative Method Based on Implicit Signed Distance Function

2023-03-13 · Lutao Jiang, Ruyi Ji, Libo Zhang

In this paper, we develop a new method, termed SDF-3DGAN, for 3D object generation and 3D-Aware image synthesis tasks, which introduce implicit Signed Distance Function (SDF) as the 3D object representation method in the…

3D-Aware Image SynthesisImage GenerationObject

Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask

2023-02-14 · CVPR 2023 1 · Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou 외

We introduce a novel approach that takes a single semantic mask as input to synthesize multi-view consistent color images of natural scenes, trained with a collection of single images from the Internet. Prior works on 3D…

3D-Aware Image SynthesisImage Generation

BallGAN: 3D-aware Image Synthesis with a Spherical Background

2023-01-22 · ICCV 2023 1 · Minjung Shin, Yunji Seo, Jeongmin Bae, Young Sun Choi 외

3D-aware GANs aim to synthesize realistic 3D scenes such that they can be rendered in arbitrary perspectives to produce images. Although previous methods produce realistic images, they suffer from unstable training or de…

3D-Aware Image Synthesis3D geometryImage Generation

Learning 3D-aware Image Synthesis with Unknown Pose Distribution

2023-01-18 · CVPR 2023 1 · Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng 외

Existing methods for 3D-aware image synthesis largely depend on the 3D pose distribution pre-estimated on the training set. An inaccurate estimation may mislead the model into learning faulty geometry. This work proposes…

3D-Aware Image SynthesisImage Generation

Class-Continuous Conditional Generative Neural Radiance Field

2023-01-03 · Jiwook Kim, Minhyeok Lee

The 3D-aware image synthesis focuses on conserving spatial consistency besides generating high-resolution images with fine details. Recently, Neural Radiance Field (NeRF) has been introduced for synthesizing novel views …

3D-Aware Image SynthesisImage GenerationImage-to-Image TranslationNeRF

Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis

2023-01-01 · CVPR 2023 1 · Hoseok Do, EunKyung Yoo, Taehyeong Kim, Chul Lee 외

While 3D-based GAN techniques have been successfully applied to render photo-realistic 3D images with a variety of attributes while preserving view consistency, there has been little research on how to fine-control 3…

3D-Aware Image SynthesisAttributeImage GenerationImage Manipulation

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

2022-12-22 · CVPR 2023 1 · Yinghao Xu, Menglei Chai, Zifan Shi, Sida Peng 외

Existing 3D-aware image synthesis approaches mainly focus on generating a single canonical object and show limited capacity in composing a complex scene containing a variety of objects. This work presents DisCoScene: a 3…

3D-Aware Image SynthesisImage GenerationObject

Deep Generative Models on 3D Representations: A Survey

2022-10-27 · Zifan Shi, Sida Peng, Yinghao Xu, Andreas Geiger 외

Generative models aim to learn the distribution of observed data by generating new instances. With the advent of neural networks, deep generative models, including variational autoencoders (VAEs), generative adversarial …

3D-Aware Image Synthesis3D Shape GenerationImage GenerationSurvey
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