mingliangfu

mingliangfu's Stars

• filby89/spectre

  Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos

  Language:Python24121

• 19reborn/NeuS2

  [ICCV 2023] Official code for NeuS2

  Language:Cuda62140

• USTC3DV/NDR-code

  【NeurIPS 2022 Spotlight】Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera

  Language:Python51459

• wenbin-lin/OcclusionFusion

  OcclusionFusion: realtime dynamic 3D reconstruction based on single-view RGB-D

  Language:Python25641

• AljazBozic/DeepDeform

  [CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data

  Language:C++18317

• AljazBozic/NeuralGraph

  Official implementation for CVPR'2021 paper Neural Deformation Graphs

  Language:Python15217

• thohemp/6DRepNet360

  Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" IEEE TIP 24

  Language:Python1122

• lattas/FitMe

  CVPR 2023 - FitMe: Deep Photorealistic 3D Morphable Model Avatars

  551

• LiuLinyun/ASM-unofficial

  unofficial implement of paper "ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling"

  Language:Python301

• cleardusk/3DDFA_V2

  The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

  Language:Python2.9k510

• autonomousvision/unimatch

  [TPAMI'23] Unifying Flow, Stereo and Depth Estimation

  Language:Python1k106

• guoyww/AnimateDiff

  Official implementation of AnimateDiff.

  Language:Python10.4k847

• Ahmednull/L2CS-Net

  The official PyTorch implementation of L2CS-Net for gaze estimation and tracking

  Language:Python32580

• KhronosGroup/glTF-Tutorials

  glTF Tutorials

  Language:Python1.1k210

• yuangan/EAT_code

  Official code for ICCV 2023 paper: "Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation".

  Language:Python26930

• Dorniwang/PD-FGC-inference

  This is official inference code of PD-FGC

  Language:Python765

• DmitryRyumin/ICCV-2023-Papers

  ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

  Language:Python92042

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook2.7k194

• YuelangX/AvatarMAV

  A PyTorch implementation of "AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels"

  Language:Python9410

• markomih/ResFields

  [ICLR 2024 Spotlight ✨] ResFields: Residual Neural Fields for Spatiotemporal Signals

  Language:Python15911

• XiaoyuShi97/VideoFlow

  Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation

  Language:Python25526

• polo5/LDEQ_RwR

  Landmark Deep Equilibrium Model (LDEQ), applied to videos with a Recurrence without Recurrence (RwR) paradigm

  Language:Python374

• threestudio-project/threestudio

  A unified framework for 3D content generation.

  Language:Python6.2k474

• MV-Dream/MVDream

  code page placeholder

  57710

• magic-research/magic-avatar

  MagicAvatar: Multimodal Avatar Generation and Animation

  62033

• harlanhong/CVPR2022-DaGAN

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

  Language:Python959125

• bbaaii/HFA-GP

  Official implementation of High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors

  Language:Python575

• naver/roma

  RoMa: A lightweight library to deal with 3D rotations in PyTorch.

  Language:Python50519

• soumik-kanad/diff2lip

  Language:Python29435

• radekd91/emoca

  Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

  Language:Python69389