Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:06:01.218497Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 5 inbound Pith citation observations for arXiv:2411.17787.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:06:01.218497Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:12.670870Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:27:24.413629Z
75 of 75 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7ea29251-8ceb-4bc7-9483-24017ad2b1ac · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Qwen Technical Report
Reference 1
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Observation 7f70426b-d403-41bd-964b-26cdd5770f88 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Reference 2
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Observation 2e87246e-1877-486a-8275-c514bac2883a · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Maskgit: Masked generative image transformer
Reference 3
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Unavailable: canonical work link unavailable.
Observation 71e83295-7227-4267-80ba-8d47134cb028 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Generative pre- training from pixels
Reference 4
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Observation 07163891-1d53-4c65-8e23-d2d1df601bf9 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient SlimSAM: 0.1% Data Makes Segment Anything Slim
Reference 5
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Observation 0ff93a30-106a-42d3-9bfb-0da021dcda20 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Reference 6
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Observation b255cd6f-5e4a-4a27-b839-cae890bd3df3 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Flashattention: Fast and memory-efficient exact at- tention with io-awareness
Reference 7
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Observation d05f2834-3bc5-4ee3-a62c-5de7225b2401 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Imagenet: A large-scale hierarchical image database
Reference 8
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Observation ad474c54-9b9d-4d05-b4a7-2226f1128509 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient The Llama 3 Herd of Models
Reference 9
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Observation effbbf50-814c-4867-8d74-b146ca37b589 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Taming transformers for high-resolution image synthesis
Reference 10
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Observation 85561da2-3013-465f-bf78-68612848d9b8 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Depgraph: Towards any structural pruning
Reference 11
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Observation 876f2246-19bd-4c0d-9aaf-b73e3b6bef16 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Structural pruning for diffusion models
Reference 12
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Observation 681b836e-5f51-49f2-ad08-f0a515b54c7e · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
Reference 13
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Observation 56c81c6e-0184-479d-b203-e22583c26bf1 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 14
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Observation 04b1d529-1278-43eb-9edf-9e6885249631 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Reference 15
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Observation e26eb48c-256f-4f3f-b92f-6e197cea0515 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 16
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Observation faeb81e8-b07b-401b-b72b-c7fbe3f4c9c3 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient A survey on vision transformer
Reference 17
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Observation aea5fde9-22b4-426b-afa4-dcb4a7f7cdb0 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
Reference 18
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Observation fd101286-f93c-4ac9-803a-1d7afe8a3993 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 19
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Observation 9431f11b-68ff-4b2d-bd95-462f347d66d4 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Distilling the Knowledge in a Neural Network
Reference 20
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Observation e229b145-4c2a-4be7-931d-00b5d23d6f2a · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
Reference 21
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Observation 49703b2c-e9c7-4583-97ec-1227c75e4e8c · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Musiq: Multi-scale image quality transformer
Reference 22
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Observation ce70e656-6ca7-4c16-aafa-84e41a25b0e3 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Adam: A Method for Stochastic Optimization
Reference 23
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Observation 748b54f3-78e3-4677-8ecb-66915a3cc3cb · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Scalable autoregressive image generation with mamba
Reference 24
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Observation 23c86ecd-cd16-4d6b-8a31-9d907950cd73 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Distri- fusion: Distributed parallel inference for high-resolution dif- fusion models
Reference 25
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Observation 135b9975-b704-41bd-8823-93db563fa360 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Svdquant: Absorbing outliers by low- rank components for 4-bit diffusion models
Reference 26
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Observation 5a61af7e-7015-43e5-bacc-799298b594e8 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
Reference 27
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Observation 6383f43c-1806-4cda-8175-f9bb77e9cd93 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Autoregressive Image Generation without Vector Quantization
Reference 28
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Observation 3420117d-a3fa-49eb-b640-389f1c4bf19e · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Q-diffusion: Quantizing diffusion models
Reference 29
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Observation bed95b59-8dbe-47e9-b14f-81879ea35bba · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient ImageFolder: Autoregressive Image Generation with Folded Tokens
Reference 30
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Observation 6b0acc77-3f03-407b-8586-acb720539bf6 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient ControlVAR: Exploring Controllable Visual Autoregressive Modeling
Reference 31
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Observation 89f9d24b-53fc-42e0-8a6c-ee0643000b92 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds
Reference 32
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Observation e7259b41-92cf-4b55-ab58-4b6780ea20b9 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient ControlAR: Controllable Image Generation with Autoregressive Models
Reference 33
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Observation 324b261a-1d65-47fa-9985-edba713facc7 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
Reference 34
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Observation dc83de5b-060b-4d52-be68-d9ba151336fb · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Pseudo Numerical Methods for Diffusion Models on Manifolds
Reference 35
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Observation 398bf983-3b0f-4a94-b2c1-82b78a573843 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Reference 36
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Observation 03fd1dc9-c9c1-4a0d-bf59-af57760dc973 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reference 37
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Observation 06f79ac3-74eb-4c1e-be4e-5a691768c681 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
Reference 38
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Observation f6588738-2024-4c92-8f9b-f38fb8b6bb37 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Accelerating Diffusion Models via Early Stop of the Diffusion Process
Reference 39
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Observation 091e2ac2-1b30-4422-aeb0-c2196294fb84 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient DeepCache: Accelerating Diffusion Models for Free
Reference 40
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Observation 0213bec1-28a6-4cd9-9fe4-ca54a3ceb1be · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient STAR: Scale-wise Text-conditioned AutoRegressive image generation
Reference 41
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Observation cb2a9fdd-ecfe-4007-ad85-64ed92f6932f · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient completely blind
Reference 42
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Observation a0085082-cc8c-4665-995a-535de8b18de8 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Pytorch: An im- perative style, high-performance deep learning library
Reference 43
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Observation 2233b2e0-77d5-433d-9c0a-ee6779c9832f · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Scalable diffusion models with transformers
Reference 44
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Observation d54f1179-7b73-4ea2-a89a-fe7ceeb133ee · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Efficient Autoregressive Audio Modeling via Next-Scale Prediction
Reference 45
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Observation e1fa93f8-8dc1-4618-8670-3bb7b6beb98f · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Learning transferable visual models from natural language supervi- sion
Reference 46
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Observation 9f633698-2602-4027-9801-da493a5ef7d5 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Progressive Distillation for Fast Sampling of Diffusion Models
Reference 47
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Observation 759271ac-9130-4a6d-961b-c9531abc83ef · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Adversarial Diffusion Distillation
Reference 48
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Observation b1f872cb-fd35-4bb6-a1e9-6b3e23b1d6df · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Post-training quantization on diffusion models
Reference 49
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Observation 2368a399-a1b0-4777-867f-bdaf6d650a25 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models
Reference 50
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Observation 1f1c0d37-4510-487d-9b61-269bddbae82e · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Denoising Diffusion Implicit Models
Reference 51
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Observation ab095ba0-8abd-4f31-8862-5d6b940afe53 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Reference 52
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Observation abbfedb2-901c-453a-b193-f7a431f2704e · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
Reference 53
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Observation b9244f1e-fd3d-4598-8abc-69a48bfd771e · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Reference 54
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Observation 44416ad8-384b-4578-a805-db13308549a7 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Reference 55
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Observation b0d6e350-be44-4f7d-9bde-2b9df30b8715 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 56
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Observation cdf0e4ca-2e60-46a7-8b1a-16e7f524d3d2 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Conditional image genera- tion with pixelcnn decoders
Reference 57
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Observation 3eb0a456-a858-4e1a-922e-35a273b016fd · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Neural discrete representation learning
Reference 58
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Observation a7ef895c-5988-4986-834c-7b19e455ad10 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Ex- ploring clip for assessing the look and feel of images
Reference 59
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Observation c4470b04-6f16-4de9-9681-b7511823fe4d · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Cache Me if You Can: Accelerating Diffusion Models through Block Caching
Reference 60
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Observation 20e5c35d-3a5d-46fb-bfd4-dc5bb113d714 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Reference 61
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Observation f1fde042-a4a3-4f40-87ac-cac40b278d1a · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Hash3D: Training-free Acceleration for 3D Generation
Reference 62
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Observation 3228f5f7-2e9e-4967-af98-94d7ea04ee9a · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Diffusion probabilistic model made slim
Reference 63
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Observation 12c112f8-ab58-424b-92d1-d8df4cdedc7c · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient CAR: Controllable Autoregressive Modeling for Visual Generation
Reference 64
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Observation 351ef7da-6e42-44a8-af25-79e92c2bcfb4 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient One-step Diffusion with Distribution Matching Distillation
Reference 65
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Observation b79837d3-5ad8-422c-9fc8-77b8bf75f680 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Resshift: Efficient diffusion model for image super- resolution by residual shifting
Reference 66
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Observation c1d51bcc-1f4d-4487-95c0-0fdddd013664 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
Reference 67
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Observation 03b45b37-840b-4bb3-8f8f-e9577ba934ba · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient G3PT: Unleash the power of Autoregressive Modeling in 3D Generation via Cross-scale Querying Transformer
Reference 68
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Observation 3695f0a9-994f-48f7-baca-f2e7b2d9ee99 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Fast Sampling of Diffusion Models with Exponential Integrator
Reference 69
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Observation cc2f965e-3780-4d6f-bd82-95c5d4c116e6 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling
Reference 70
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Observation 4affad3b-796b-4e7b-ae2f-b156f4b938a3 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Faster Diffusion via Temporal Attention Decomposition
Reference 71
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Observation 672a973f-3971-48f5-8845-8eee16213a04 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Real-Time Video Generation with Pyramid Attention Broadcast
Reference 72
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Observation 9f276dd2-d1f9-420c-902b-bfc8e599175b · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
Reference 73
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Observation a7cb3764-b568-4eeb-81e8-df624495d175 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Dpm- solver-v3: Improved diffusion ode solver with empirical model statistics
Reference 74
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Observation 2ff60dfb-6593-4491-9a6d-bb3e98d131a3 · outbound
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Reference 75
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Observation aa1f79b0-8e6d-406e-8dfa-1e8a18d509a4 · inbound
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Reference 7
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Observation 13a7575a-d813-492b-87e7-ed2d4d607f4f · inbound
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Reference 8
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Observation ffe0c12d-1a86-49ba-83df-a0f46bbde0de · inbound
SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Reference 6
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Observation f3f8b3ac-f320-46cd-8758-8e241995f1bb · inbound
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Reference 17
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Observation 4e9856ad-57c8-4913-a904-3b437fd7b117 · inbound
HACK++: Towards More Effective Head-Aware Key-Value Compression for Efficient Visual Autoregressive Modeling Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Reference 54
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