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A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
[SIGGRAPH'24] CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
🚀 A Monorepo for My Personal Website and Related Projects
风云天气是Android 平台开源天气 App，采用Kotlin、Room、OKHttp3、 协程等框架实现。
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
The open-source tool for building high-quality datasets and computer vision models
[ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models. 🚀🚀🚀
PixelLM is an effective and efficient LMM for pixel-level reasoning and understanding. PixelLM is accepted by CVPR 2024.
LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning
Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
JDiffusion is a diffusion model library for generating images or videos based on Diffusers and Jittor.
Recent weakly supervised semantic segmentation paper
The official gpt4free repository | various collection of powerful language models
Official Implementation for CVPR 2024 paper: CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
TikTok 主页/合辑/直播/视频/图集/原声；抖音主页/视频/图集/收藏/直播/原声/合集/评论/账号/搜索/热榜数据采集工具
A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..
(TPAMI 2024) A Survey on Open Vocabulary Learning
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering (Jittor)
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.