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20182026
most citedSNeRF: Stylized Neural Implicit Representations for 3D Scenes

14 citations · 25 across the 14 of their papers we have counts for

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cs.CV2026

MeshReGen: A Unified 3D Geometry Regeneration Framework

Geon Yeong Park, Roman Shapovalov, Rakesh Ranjan +3

We consider the problem of regenerating 3D objects from 2D images and initial 3D shapes. Most 3D generators operate in a one-shot fashion, converting text or images to a 3D object…

cs.CV2025

WorldGen: From Text to Traversable and Interactive 3D Worlds

Dilin Wang, Hyunyoung Jung, Tom Monnier +22

We introduce WorldGen, a system that enables the automatic creation of large-scale, interactive 3D worlds directly from text prompts. Our approach transforms natural language descr…

cs.CV2025

Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency

Hyunho Ha, Lei Xiao, Christian Richardt +5

We introduce a novel geometry-guided online video view synthesis method with enhanced view and temporal consistency. Traditional approaches achieve high-quality synthesis from dens…

cs.CV2025

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields

Zhengqin Li, Dilin Wang, Ka Chen +11

We present Large Inverse Rendering Model (LIRM), a transformer architecture that jointly reconstructs high-quality shape, materials, and radiance fields with view-dependent effects…

cs.CV2024

GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars

Keqiang Sun, Amin Jourabloo, Riddhish Bhalodia +9

Photo-realistic and controllable 3D avatars are crucial for various applications such as virtual and mixed reality (VR/MR), telepresence, gaming, and film production. Traditional m…

cs.CV2024

NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs

Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc +4

A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and appearance of a scene. We here ask the question whether we can transfer the appearance from a source…