czvvd

czvvd's Stars

• omerbt/TokenFlow

  Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)

  Language:Python1.6k7744138

• ActiveVisionLab/Awesome-LLM-3D

  Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

  1.4k51783

• yyyujintang/Awesome-Mamba-Papers

  Awesome Papers related to Mamba.

  1.3k261866

• LTH14/mar

  PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838

  Language:Python1.2k187366

• ChenyangQiQi/FateZero

  [ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"

  Language:Jupyter Notebook1.1k1435106

• williamyang1991/FRESCO

  [CVPR 2024] FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation

  Language:Jupyter Notebook748124274

• XiudingCai/Awesome-Mamba-Collection

  A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.

  44913443

• Weifeng-Chen/control-a-video

  Official Implementation of "Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models"

  Language:Python378222928

• WHU-USI3DV/VistaDream

  [arXiv'24] [Image-to-Scene on a 4090(24G)] VistaDream: Sampling multiview consistent images for single-view scene reconstruction

  Language:Python37751916

• yrcong/flatten

  Pytorch Implementation of FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing (ICLR 2024)

  Language:Python221845

• lixirui142/VidToMe

  Official Pytorch Implementation for "VidToMe: Video Token Merging for Zero-Shot Video Editing" (CVPR 2024)

  Language:Python2099512

• ZCMax/LLaVA-3D

  A Simple yet Effective Pathway to Empowering LLaVA to Understand and Interact with 3D World

  Language:Python1937256

• wenhao728/awesome-diffusion-v2v

  Awesome diffusion Video-to-Video (V2V). A collection of paper on diffusion model-based video editing, aka. video-to-video (V2V) translation. And a video editing benchmark code.

  Language:Python177437

• NVlabs/EdgeRunner

  EdgeRunner: Auto-regressive Auto-encoder for Efficient Mesh Generation

  Language:Python1721396

• Francis-Rings/MotionEditor

  [CVPR2024] MotionEditor is the first diffusion-based model capable of video motion editing.

  Language:Python153577

• QWTforGithub/PUDM

  [A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling, 2024, CVPR]

  Language:Python135131916

• ewrfcas/MVInpainter

  [NeurIPS 2024] MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing

  Language:Python871152

• TangYuan96/MiniGPT-3D

  [MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors

  Language:Python74886

• chenhonghua/MvDrag3D

  58502

• XiangFeng66/SRGS

  The first to focus on HRNVS of 3DGS

  Language:Python40420

• HavenFeng/time_reversal

  Official repo of "Time Reversal Fusion" (ECCV2024)

  Language:Python36433

• sfanxiang/videoshop

  Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion

  Language:Python36431

• YunzeMan/Situation3D

  [CVPR 2024] Situational Awareness Matters in 3D Vision Language Reasoning

  Language:Python30362

• Vicky0522/I2VEdit

  [SIGGRAPH Asia 2024] I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models

  Language:Python27392

• EasyRy/RepKPU

  Point Cloud Upsampling with Kernel Point Representation and Deformation

  Language:Python25325

• lslrh/SyncNoise

  SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing

  Language:Python19100

• wangjiangshan0725/COVE

  [NeurIPS 2024] COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing

  16120

• octree-nn/upsample-clean

  Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs

  Language:Python153

• Miraclelzk/NI-SGCN

  Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising

  Language:Python7

• Miraclelzk/P2I2S-ResLNet

  Point-to-Spike Transformations for Energy-Efficient Point Cloud Processing with Spiking Residual Networks

  Language:Python1100