Autoregressive Models In Vision Survey
ChaofanTao
[TMLR 2025🔥] A survey for the autoregressive models in vision.
OPENAGENTSKILL / DIRECTORY
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Results: 53
ChaofanTao
[TMLR 2025🔥] A survey for the autoregressive models in vision.
FoundationVision
[NeurIPS 2025 Oral]Infinity⭐️: Unified Spacetime AutoRegressive Modeling for Visual Generation
minhnv0807
63 bilingual AI marketing skills (31 VN + 31 Global) for Claude Code, OpenCode, Codex, VS Code. Marketing strategy, content production, performance analytics, personal b…
zju3dv
[ICCV 2025] Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
agamm
Claude Code skill for OWASP security best practices (2025-2026). Includes Top 10:2025, ASVS 5.0, Agentic AI security, and 20+ language-specific security quirks.
treygrainger
The codebase for the book "AI-Powered Search" (Manning Publications, 2025)
MFlowCode
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
ianshulx
Open source Django Project repository for beginners. @Hacktoberfest @Django
jovanavidenovic
[CVPR 2025, IJCV 2026] "A Distractor-Aware Memory for Visual Object Tracking with SAM2", "Distractor-Aware Memory-Based Visual Object Tracking"
wjq-learning
[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Masriyan
LLM and AI application security testing — prompt injection, jailbreak resistance, OWASP LLM Top 10 (2025), RAG and agent/tool-use security, model supply chain, and AI re…
Shilin-LU
[ICLR 2025] "Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances" (Official Implementation)
csml-rpi
Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and the Physical Sciences Workshop.
xiaoxiaoxh
[RSS 2025] Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
ReinFlow
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.
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