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Ben Mildenhall

Topic trends: 31,945 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,180 papers | Abstracts: 31,002 (90.7%) | Citations: 34,180 (100.0%) | arXiv: 25,731 (75.3%)

Built: Feb 7, 2026, 6:57 PM AMS

24

papers

338

total citations

papers (24)

ReconFusion: 3D Reconstruction with Diffusion Priors

Deep Multi Depth Panoramas for View Synthesis

Generative Powers of Ten

Eclipse: Disambiguating Illumination and Materials using Unintended Shadows

Disentangled 3D Scene Generation with Layout Learning

StegaStamp: Invisible Hyperlinks in Physical Photographs

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination

Learned Initializations for Optimizing Coordinate-Based Neural Representations

NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis

Zero-Shot Text-Guided Object Generation With Dream Fields

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Block-NeRF: Scalable Large Scene Neural View Synthesis

Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

Dense Depth Priors for Neural Radiance Fields From Sparse Input Views

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs

NeRF in the Dark: High Dynamic Range View Synthesis From Noisy Raw Images

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training

Baking Neural Radiance Fields for Real-Time View Synthesis

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

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

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

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Fast and High Quality Image Denoising via Malleable Convolution

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

NeurIPS 2020arXiv