-
Seoul National University
- Seoul, Korea
- sangminkim-99.github.io
Highlights
- Pro
Lists (4)
Sort Name ascending (A-Z)
Starred repositories
This is the official code release for our work, Denoising Vision Transformers.
[CVPR'24] Group Anything with Radiance Fields
[RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
A set of Cartesian controllers for the ROS1 and ROS2-control framework.
A C++ & Python viewer for 3D data like meshes and point clouds
C++11 implementation of Socket.IO client
Official Implementation of PG2023 Paper - Robust View Synthesis with Color Transform Module
Unofficial implementation of Sketch-Guided Text-to-Image Diffusion Models
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
suddhu / franka_control
Forked from AGI-Labs/franka_controlLightweight control environment for Franka robot
A modular embodied agent architecture and platform for building embodied agents
A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds
SAPIEN Manipulation Skill Framework, a open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
CUDA accelerated rasterization of gaussian splatting
Official implementation of 3Doodle: Compact Abstraction of Objects with 3D Strokes (SIGGRAPH 24', Journal track)
[NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation
official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
[CVPR 2024] Probing the 3D Awareness of Visual Foundation Models
chongzhou96 / MaskCLIP
Forked from open-mmlab/mmsegmentationOfficial PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)
MINE: Mutual Information Neural Estimation in pytorch (unofficial)
ROS streaming of images and poses to nerfstudio.
Real-time Neural Signed Distance Fields for Robot Perception
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want