ArXiv Diffusion Models Digest

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Filter the day's most impactful CV diffusion-model preprints on ArXiv, ranked by citation momentum, author affiliation, and method novelty

ArXiv Diffusion Models Digest2026-07-08

Five diffusion papers: July 8, 2026

Daily digest covering the July 7, 09:00 to July 8, 09:00 UTC-5 arXiv window. The selected papers are MobileWan, FourTune, teacher-aligned repair for pruned diffusion, MoWorld, and Nemotron-Labs-Diffusion, ranked for diffusion researchers by novelty, evidence, lab signal, and technical usefulness.

ArXiv Diffusion Models Digest2026-07-07

Five diffusion papers: July 3-7, 2026

Catch-up digest covering the July 3 09:21 to July 7 09:00 UTC-5 arXiv window, led by Perceptual Flow Matching, Flex-Forcing, Awakening DiT, ETH discrete diffusion theory, and EMPURPLE.

ArXiv Diffusion Models Digest2026-07-03

Five diffusion papers: July 3, 2026

Daily ranked digest of five diffusion-model preprints from the July 2 09:19 to July 3 09:00 UTC-5 arXiv window, led by PointDiT, Set Diffusion, MapDreamer, MrFlow, and QWERTY.

ArXiv Diffusion Models Digest2026-07-02

Five diffusion papers: July 2, 2026

Today’s digest ranks five diffusion-model preprints from the July 2 arXiv window, led by SLIM-RL, parallel-in-time discrete diffusion sampling, DriftScope, SAGE, and DiT-Pruning.

ArXiv Diffusion Models Digest2026-07-01

Five diffusion papers: July 1, 2026

Today’s digest prioritizes five diffusion and flow-matching papers from the July 1 arXiv window: Cross-Space Distillation, ECFM, OTCache, MBD-LMs, and SyncCache.

ArXiv Diffusion Models Digest2026-06-30

Five diffusion papers: June 30, 2026

Today’s digest highlights five June 30 arXiv diffusion papers on Nemotron-Labs-Diffusion-Image, Adaptive Block Diffusion, SAFE-DiT, Concept Removal Guidance, and reflow marginal alignment.

ArXiv Diffusion Models Digest2026-06-29

Five diffusion papers: June 29, 2026

Today’s digest covers the extended June 26-29 arXiv window after the weekend gap, highlighting five papers on pixel diffusion, diffusion language models, RLHF for image diffusion, RL post-training diagnostics, and flow-based reasoning models.

ArXiv Diffusion Models Digest2026-06-26

Five diffusion papers worth reading: June 26, 2026

Today’s digest highlights five diffusion papers on acceleration through reuse, world-space mechanics, and 3D-aware video geometry.

ArXiv Diffusion Models Digest2026-06-25

Five diffusion papers worth reading: June 25, 2026

Thursday's arXiv batch: Causal-rCM (Tsinghua+NVIDIA) brings continuous-time consistency models to AR video (2-step VBench-T2V 84.63); BLOCK (ICML 2026, CISPA) removes concepts from Flux 12B with adversarial robustness; UniTeD (ECCV 2026) jointly denoises perception+planning in autonomous driving (NAVSIM 90.2); Chorus II halves I2V serving latency via sparsity reuse; iLLaDA scales masked diffusion LLM to 8B+12T tokens.

ArXiv Diffusion Models Digest2026-06-24

Five diffusion papers worth reading: June 24, 2026

Wednesday's ArXiv batch yields five papers with unusually sharp implications: DiffusionBench finds near-zero (or negative) correlation between ImageNet FID and T2I rankings across 21 models, casting doubt on the field's default benchmark; Cyclic Denoising demonstrates a gradient-free, prompt-free memorization extraction attack using only sampler control; a CMU theory paper conjectures that score estimation error makes inference-time compositional generation fixes insufficient by design; Sol (MIT/Song Han) delivers >2× training-free speedup across 64B/22B/2B video diffusion models via agent-native optimization; and ARIA improves distillation by adaptively routing training effort to conditioning regions where the student is most wrong.

ArXiv Diffusion Models Digest2026-06-23

Five diffusion papers worth reading: June 20–23, 2026

An extended 4-day batch (June 20–23) yields five standout diffusion papers from ~30 candidates: SeFi-Image's 5B semantic-first T2I model trained at ~10–20% of Z-Image's compute; Trajectory Forcing (ECCV 2026) making generation paths explicit via semantic hierarchies; DiT-Reward repurposing a pretrained DiT as a reward model at 85.6% HPDv2 win rate; OrthoMotion's algebraic guarantee of camera/subject disentanglement in video DiTs; and a graph random-walk theory that proves entropy-based unmasking is not universally optimal and introduces an O(log n) bisection sampler.

ArXiv Diffusion Models Digest2026-06-19

Five diffusion papers worth reading: June 19, 2026

FID 1.02 at sub-1B params, DiffusionGemma goes from 28.6× to 1.1× opaque, CrossFlow at NFE=1, timestep embeddings challenged, FlowBender self-corrects

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