[ICCV-23] Paper List - 3D

ICCV-23 paper list

目录

[Oral Papers](#Oral Papers)

[3D from multi-view and sensors](#3D from multi-view and sensors)

[Generative AI](#Generative AI)

[Poster Papers](#Poster Papers)

[3D Generation (Neural generative models)](#3D Generation (Neural generative models))

[3D from a single image and shape-from-x](#3D from a single image and shape-from-x)

[3D Editing](#3D Editing)

[Face and gestures](#Face and gestures)

Stylization

Dataset


Oral Papers

3D from multi-view and sensors

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

LERF: Language Embedded Radiance Fields

Mixed Neural Voxels for Fast Multi-view Video Synthesis

Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor

Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries

Generative AI

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

Generative Novel View Synthesis with 3D-Aware Diffusion Models

VQ3D: Learning a 3D-Aware Generative Model on ImageNet

Poster Papers

3D Generation (Neural generative models)

GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds

Generative Multiplane Neural Radiance for 3D-Aware Image Generation

Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model Using Pixel-Aligned Reconstruction Priors

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

ATT3D: Amortized Text-to-3D Object Synthesis

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

GETAvatar: Generative Textured Meshes for Animatable Human Avatars

Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation

DreamBooth3D: Subject-Driven Text-to-3D Generation

3D-aware Image Generation using 2D Diffusion Models

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

3D from a single image and shape-from-x

Accurate 3D Face Reconstruction with Facial Component Tokens

HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details

Zero-1-to-3: Zero-shot One Image to 3D Object

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings

3D Editing

Vox-E: Text-Guided Voxel Editing of 3D Objects

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields

SKED: Sketch-guided Text-based 3D Editing

Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields

Face and gestures

Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation

Imitator: Personalized Speech-driven 3D Facial Animation

EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation

SPACE: Speech-driven Portrait Animation with Controllable Expression

Stylization

Diffusion in Style

Creative Birds: Self-Supervised Single-View 3D Style Transfer

StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance

Locally Stylized Neural Radiance Fields

DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion

Multi-Directional Subspace Editing in Style-Space

StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models

All-to-Key Attention for Arbitrary Style Transfer

DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification

Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis

Neural Collage Transfer: Artistic Reconstruction via Material Manipulation

Dataset

H3WB: Human3.6M 3D WholeBody Dataset and Benchmark

SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling

Human-centric Scene Understanding for 3D Large-scale Scenario

相关推荐
gorgeous(๑>؂<๑)2 小时前
【ICLR26-金玥明-新国立】MedAgent-Pro:通过推理智能体工作流实现基于证据的多模态医疗诊断
人工智能
hqyjzsb2 小时前
企业AI人才库的搭建体系与长效运营管理方案
人工智能·学习·职场和发展·创业创新·学习方法·业界资讯·改行学it
码农小韩2 小时前
AIAgent应用开发——大模型理论基础与应用(五)
人工智能·python·提示词工程·aiagent
拔刀能留住落樱吗、2 小时前
AI 落地避坑实战(2026 最新):200 + 项目复盘,数据 + 方案 + 代码思路,少亏 50 万
人工智能
龙山云仓2 小时前
No160:AI中国故事-对话耿恭——孤城坚守与AI韧性:极端环境与信念之光
大数据·人工智能·机器学习
Dcs2 小时前
花 200 美刀买“黑盒”?Claude Code 这波更新,把程序员当傻子了吧…
人工智能·ai编程·claude
Mr_Lucifer3 小时前
成本大幅降低、Agent效率显著提升:CodeFlicker 接入 MiniMax M2.5 与 GLM-5
人工智能·ai编程·产品
Jonathan Star3 小时前
Ant Design (antd) Form 组件中必填项的星号(*)从标签左侧移到右侧
人工智能·python·tensorflow
挂科边缘3 小时前
YOLOv12环境配置,手把手教你使用YOLOv12训练自己的数据集和推理(附YOLOv12网络结构图),全文最详细教程
人工智能·深度学习·yolo·目标检测·计算机视觉·yolov12
deep_drink3 小时前
【论文精读(三)】PointMLP:大道至简,无需卷积与注意力的纯MLP点云网络 (ICLR 2022)
人工智能·pytorch·python·深度学习·3d·point cloud