affromero
Follow
Stars
Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.
Public code release associated with SceneScript.
[ECCV 2024 Best Paper Candidate] PointLLM: Empowering Large Language Models to Understand Point Clouds
Point-SAM: This is the official repository of "Point-SAM: Promptable 3D Segmentation Model for Point Clouds". We provide codes for running our demo and links to download checkpoints.
Official implementation of "ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis"
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024
[ECCV2024] FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally
[ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP
Official repo of "Barbie: Text to Barbie-Style 3D Avatars“
[AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
Code&Data for Grounded 3D-LLM with Referent Tokens
High-resolution models for human tasks.
We present Object Images (Omages): An homage to the classic Geometry Images.
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Official implementation of the 2024 ECCV paper SHIC: Shape-Image Correspondences with no Keypoint Annotation
[ECCV 2024] Official implementation of the paper "TAPTR: Tracking Any Point with Transformers as Detection"
ControlNet++: All-in-one ControlNet for image generations and editing!
[ECCV 2024] Empowering 3D Visual Grounding with Reasoning Capabilities
[NeurIPS 2024] Code release for "Segment Anything without Supervision"