3DGS Render by KIRI Engine

Grounding Image Matching in 3D with MASt3R

🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

[CVPR 2025] Learning Flow Fields in Attention for Controllable Person Image Generation

[CVPR 2025 Highlight] Real-time dense scene reconstruction with SLAM3R

This repository contains demos I made with the Transformers library by HuggingFace.

High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.

Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"

[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

PhotoMaker [CVPR 2024]

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

This repository contains the official implementation of the research papers, "MobileCLIP" CVPR 2024 and "MobileCLIP2" TMLR August 2025

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Codes for "Affordance Diffusion: Synthesizing Hand-Object Interactions"

MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

TransNet V2: Shot Boundary Detection Neural Network

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)

Config files for my GitHub profile.

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

A curated list of articles and codes related to face forgery generation and detection.

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

Memory consumption and FLOP count estimates for convnets

Flops counter for neural networks in pytorch framework