The official implementation of Segment Any 3D GAussians (AAAI-25)

Dynamic 3D Foundation Model using Causal Transformer

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

[ICCV 2025] PlaceIt3D: Language-Guided Object Placement in Real 3D Scenes

[NeurIPS'24] This repository is the implementation of "SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models"

Stable Virtual Camera: Generative View Synthesis with Diffusion Models

Code for "Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers" (NeurIPS 2024)

[ECCV 2024] HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning

[3DV'25] 3D Reconstruction with Spatial Memory

[ECCV 2024] DoubleTake: Geometry Guided Depth Estimation

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Compose multimodal datasets 🎹

Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]

Pytorch Code for "LEGaussians: Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding"

[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

DUSt3R: Geometric 3D Vision Made Easy

[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"

[NeurIPS 2023] Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"

[NeurIPS 2023] Code for "Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives"

[CVPR 2023] Removing Objects From Neural Radiance Fields

Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization (ECCV 22)

This is the implementation of paper 'Hierarchical Dynamic Image Harmonization' (ACM MM'2023, Oral).

Introduction to Python for Pattern Recognition Tutorial 2019-2020 (Imperial College London)

🦖 [ECCV‘22] Pytorch implementation of 'Object-Compositional Neural Implicit Surfaces'

Code for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021