zeng-yifei

zeng-yifei's Stars

• hacksider/Deep-Live-Cam

  real time face swap and one-click video deepfake with only a single image

  Language:Python37.5k2254735.3k

• OpenBMB/MiniCPM-V

  MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  Language:Python12.1k99532849

• cloneofsimo/lora

  Using Low-rank adaptation to quickly fine-tune diffusion models.

  Language:Jupyter Notebook7k59138481

• Doubiiu/DynamiCrafter

  [ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

  Language:Python2.5k32127197

• Alpha-VLLM/Lumina-T2X

  Lumina-T2X is a unified framework for Text to Any Modality Generation

  Language:Python2k318486

• BrunoLevy/geogram

  a programming library with geometric algorithms

  Language:C++1.8k38123124

• Picsart-AI-Research/StreamingT2V

  StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

  Language:Python1.4k4357142

• dvlab-research/ControlNeXt

  Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA

  Language:Python1.3k215860

• Drexubery/ViewCrafter

  Official implementation of "ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis"

  Language:Python75224

• Tsingularity/dift

  [NeurIPS'23] Emergent Correspondence from Image Diffusion

  Language:Python59072532

• buaacyw/MeshAnythingV2

  From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"

  Language:Python563151328

• 360CVGroup/FancyVideo

  This is the official reproduction of FancyVideo.

  Language:Python556442172

• liuff19/ReconX

  ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

  46855416

• btsmart/splatt3r

  Official repository for Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

  Language:Python450151817

• Vchitect/VEnhancer

  Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

  Language:Python413182123

• ttchengab/zest_code

  [ECCV-2024] This is the official implementation of ZeST.

  Language:Jupyter Notebook354101022

• Stable-X/StableNormal

  [SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

  Language:Python34781415

• garibida/cross-image-attention

  Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

  Language:Python317171322

• chia56028/Color-Transfer-between-Images

  This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.

  Language:Python2632340

• 3dlg-hcvc/omages

  We present Object Images (Omages): An homage to the classic Geometry Images.

  Language:Jupyter Notebook24424812

• thuhcsi/MagicMan

  Official repository for paper "MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement"

  Language:Python2102076

• yipoh/AesBench

  An expert benchmark aiming to comprehensively evaluate the aesthetic perception capacities of MLLMs.

  Language:Python205467

• zju3dv/IntrinsicAnything

  Language:Python1923033

• Stable-X/StableDelight

  StableDelight: Revealing Hidden Textures by Removing Specular Reflections

  Language:Python185634

• codeslake/Color_Transfer_Histogram_Analogy

  [CGI 2020] Official PyTorch Implementation for "Deep Color Transfer using Histogram Analogy"

  Language:Python16651732

• dreamscene4d/dreamscene4d

  [NeurIPS 2024] DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos

  Language:Python1602161

• aim-uofa/GenPercept

  GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

  Language:Python1185115

• iamNCJ/DiLightNet

  Official Code Release for [SIGGRAPH 2024] DilightNet: Fine-grained Lighting Control for Diffusion-based Image Generation

  Language:Python1081344

• initialneil/DEGAS

  963

• moatifbutt/color-peel

  we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.

  Language:Python433