Kwang Moo Yi

33

Papers

79

Total Citations

Papers (33)

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models

Unsupervised Keypoints from Pretrained Diffusion Models

Accelerating Neural Field Training via Soft Mining

Volumetric Rendering with Baked Quadrature Fields

StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting

Learning to Assign Orientations to Feature Points

Learning to Find Good Correspondences

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning

MIST: Multiple Instance Spatial Transformer

DeRF: Decomposed Radiance Fields

CoNeRF: Controllable Neural Radiance Fields

LOLNerf: Learn From One Look

Kubric: A Scalable Dataset Generator

BlendFields: Few-Shot Example-Driven Facial Modeling

Neural Fourier Filter Bank

FaceLit: Neural 3D Relightable Faces

Pointersect: Neural Rendering With Cloud-Ray Intersection

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

Beyond Cartesian Representations for Local Descriptors

Linearized Multi-Sampling for Differentiable Image Transformation

COTR: Correspondence Transformer for Matching Across Images

Layered Controllable Video Generation

NeuMan: Neural Human Radiance Field from a Single Video

HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories

Radiant Foam: Real-Time Differentiable Ray Tracing

ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models

Neural Fields as Distributions: Signal Processing Beyond Euclidean Space

BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction

LF-Net: Learning Local Features from Images

Canonical Capsules: Self-Supervised Capsules in Canonical Pose

TUSK: Task-Agnostic Unsupervised Keypoints

Unsupervised Semantic Correspondence Using Stable Diffusion