KwaiMind Technical Report

arXiv:2609.26375 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-29

Code: https://github.com/KwaiMmu/KwaiMind

Terminology

• Benchmark — 27× in this paper · explained in 2 episodes
• Consistency — 24× in this paper · explained in 3 episodes
• Alignment — 18× in this paper · explained in 1 episode
• Accuracy — 16× in this paper · explained in 1 episode
• Reinforcement Learning — 16× in this paper · explained in 4 episodes
• Fidelity — 12× in this paper · explained in 2 episodes
• Fine-Tuning — 12× in this paper · explained in 5 episodes
• Diffusion Model — 10× in this paper · explained in 8 episodes
• Distillation — 10× in this paper · explained in 2 episodes
• Diffusion Models — 6× in this paper · explained in 6 episodes
• On-Policy Distillation — 5× in this paper · explained in 3 episodes
• Direct Preference Optimization — 4× in this paper
• Online Reinforcement Learning — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Flow Matching — 3× in this paper · explained in 8 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Diffusion Process — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Evaluation Dimensions — 2× in this paper · explained in 3 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 2× in this paper · explained in 8 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment Distillation — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Closed-Loop System — 1× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• Distribution Matching — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• State Management — 1× in this paper · explained in 3 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• ScaleEdit-12M: Scaling Open-Source Image Editing Data Generation via Multi-Agent Framework
• EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations
• FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
• DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
• DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud Completion
• DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation
• Step1X-Edit: A Practical Framework for General Image Editing
• LongCat-Image Technical Report
• From Pixels to Prose: A Large Dataset of Dense Image Captions
• JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation
• FireRed-Image-Edit-1.0 Technical Report
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
• Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing
• CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Qwen-Image Technical Report

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models