Dengyang Jiang

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upvoted a paper 6 days ago

Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control

Paper • 2609.28339 • Published 19 days ago • 30

upvoted a paper 20 days ago

Paint-Anything: Unified Any-Color Control for Image Generation and Editing

Paper • 2609.20816 • Published 25 days ago • 57

upvoted 2 papers about 2 months ago

GenRouter: Unified Workflow Routing for Agentic Image Generation

Paper • 2608.16721 • Published Aug 17 • 28

An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models

Paper • 2608.16887 • Published Aug 17 • 36

upvoted 5 papers 3 months ago

Kimi K3: Open Frontier Intelligence

Paper • 2607.24653 • Published Jul 27 • 528

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget

Paper • 2607.13125 • Published Jul 18 • 140

From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models

Paper • 2607.06553 • Published Jul 9 • 15

OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators

Paper • 2607.08766 • Published Jul 9 • 8

From SRA to Self-Flow: Data Augmentation or Self-Supervision?

Paper • 2607.02508 • Published Jul 2 • 13

upvoted 2 papers 4 months ago

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation

Paper • 2606.12575 • Published Jun 10 • 14

Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions

Paper • 2606.09076 • Published Jun 8 • 67

upvoted a paper 5 months ago

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Paper • 2605.05204 • Published May 6 • 28

upvoted a paper 7 months ago

Manifold-Aware Exploration for Reinforcement Learning in Video Generation

Paper • 2603.21872 • Published Mar 23 • 34

upvoted a paper 8 months ago

Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning

Paper • 2601.21037 • Published Jan 28 • 15

upvoted a paper 9 months ago

LTX-2: Efficient Joint Audio-Visual Foundation Model

Paper • 2601.03233 • Published Jan 6 • 199

upvoted 3 papers 10 months ago

No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves

Paper • 2505.02831 • Published May 5, 2025 • 2

Distribution Matching Distillation Meets Reinforcement Learning

Paper • 2511.13649 • Published Nov 17, 2025 • 6

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Paper • 2511.22699 • Published Nov 27, 2025 • 249