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Paper Citation Record · LEDGER

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2508.07647.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.07647 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:02:50.208843Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact3
  • verified fuzzy21
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 474696b9-8d40-4138-b547-7d2445b24a9f · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 54017fb9-0e1b-49b8-b82f-9eff5f869574 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 2

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Observation 1dd6bc16-3771-40e8-8bdb-d558f3148e9b · outbound

This paper cites pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis

Reference 3

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Source-reported events for the cited work

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Observation f79c5c47-f718-4785-80db-faefbcb46e39 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Efficient geometry-aware 3d generative adversarial networks

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e6e7afeb-8d4a-4b90-8e7b-267e811a8a38 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

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Observation cc52b96e-5ca1-43d4-bff2-576880bf145e · outbound

This paper cites Training-free layout control with cross-attention guidance.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Training-free layout control with cross-attention guidance

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4389892a-aa2a-481c-81fa-180aad9c4b0e · outbound

This paper cites LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors

Reference 7

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Observation f31291cc-6521-4c77-a2f7-fcae113ce299 · outbound

This paper cites V ol- ume rendering.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering V ol- ume rendering

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f3234ed7-5919-4c25-a527-823492415dea · outbound

This paper cites StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

Reference 9

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Observation 4bb9291c-86c0-4901-82c8-800b2e7d301a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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Observation dec43503-1de1-4142-a0f7-d95448d24961 · outbound

This paper cites Viewdiff: 3d-consistent image generation with text-to-image models.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Viewdiff: 3d-consistent image generation with text-to-image models

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9cdde431-1a9d-4d71-a985-33c2c9860912 · outbound

This paper cites spacy 2: Natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering spacy 2: Natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a734d147-1aa7-414d-a88a-f5ed97aa475e · outbound

This paper cites T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3ae003bf-fdc8-4ff0-8868-178d5d870055 · outbound

This paper cites Image gener- ation from scene graphs.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Image gener- ation from scene graphs

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation feceee65-456b-4ad1-8c3b-2432b760008a · outbound

This paper cites Deep occlusion- aware instance segmentation with overlapping bilayers.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Deep occlusion- aware instance segmentation with overlapping bilayers

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.873143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1df5cc1a-0450-4851-83f2-70375fc68188 · outbound

This paper cites an unresolved cited work.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7f9f29c1-875e-45e8-aeba-c40ea26a3cc4 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Gligen: Open-set grounded text-to-image generation

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8be9a4d-2c87-4d33-be30-50d1c379f6ac · outbound

This paper cites Microsoft coco: Common objects in context.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Microsoft coco: Common objects in context

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c1f26624-b6f1-4abc-baed-256a1575c664 · outbound

This paper cites Variational amodal object completion.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Variational amodal object completion

Reference 19

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raw_fallback, observed 2026-08-05T22:02:50.825341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8d5895f7-0f19-4076-b03b-35ede462895b · outbound

This paper cites Object-level scene deocclusion.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Object-level scene deocclusion

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e7bd5f65-c9f9-4f49-bc98-a3a90849e0dd · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 21

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Source-reported events for the cited work

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Observation da13f8b0-0f94-4e88-9b7d-6c2c3e08f791 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 22

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Observation 062d0d1f-fc32-4577-af16-0be1fcc59106 · outbound

This paper cites Giraffe: Represent- ing scenes as compositional generative neural feature fields.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Giraffe: Represent- ing scenes as compositional generative neural feature fields

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.785510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bb298a04-0540-427f-80a3-36c163c18c3d · outbound

This paper cites Scalable diffusion models with transformers.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Scalable diffusion models with transformers

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 039eefbf-08c3-4aee-95bc-c40fceac3358 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 25

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Unavailable: canonical work link unavailable.

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Observation f02f42f6-737a-4e58-b331-89d42e2ad401 · outbound

This paper cites Amodal instance segmentation with kins dataset.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Amodal instance segmentation with kins dataset

Reference 26

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raw_fallback, observed 2026-08-05T22:02:50.759583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ab3144a9-366b-403d-aed0-c1e855421896 · outbound

This paper cites Zero-shot text-to-image generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Zero-shot text-to-image generation

Reference 27

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Unavailable: canonical work link unavailable.

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Observation cbb859b2-ec37-4218-a0bc-7aed652c619d · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00c28fbd-18e6-421c-b74d-c7f5e2837424 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering High-resolution image synthesis with latent diffusion models

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1f1ab182-009a-4eeb-b7d5-2b336b26499a · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Photorealistic text-to-image diffusion models with deep language understanding

Reference 30

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no resolver link, observed 2026-08-05T22:02:50.131674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b348d2c4-089b-4bae-8da9-eb0a161b01ce · outbound

This paper cites Graf: Generative radiance fields for 3d-aware im- age synthesis.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Graf: Generative radiance fields for 3d-aware im- age synthesis

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.714684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f6b2eacf-de87-43ac-ad0c-e90a0f5c96ad · outbound

This paper cites Using Scene Graph Context to Improve Image Generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Using Scene Graph Context to Improve Image Generation

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation df593ece-2b62-4d60-9f81-3b5eab513d6a · outbound

This paper cites Mulan: A multi layer anno- tated dataset for controllable text-to-image generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Mulan: A multi layer anno- tated dataset for controllable text-to-image generation

Reference 33

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raw_fallback, observed 2026-08-05T22:02:50.697356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 01a52554-51dc-467d-8d46-5b9cf28dbd58 · outbound

This paper cites SpotActor: Training-Free Layout-Controlled Consistent Image Generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering SpotActor: Training-Free Layout-Controlled Consistent Image Generation

Reference 34

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local_arxiv, observed 2026-08-05T22:02:50.428399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 50c1ff24-d2f5-4c3c-a041-996742e60fc0 · outbound

This paper cites Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

Reference 35

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verified exact
local_arxiv, observed 2026-08-05T22:02:50.403741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8fa30223-1c05-45f8-a288-bc52ed2d66d1 · outbound

This paper cites Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:50.157232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:50.157232Z digest=sha256:a9efeb241116b6d4bf9d6f59f995e9011e486d9e1e2edbbd064cf09c9695c7f2

Observation 25026a75-a588-4b55-beb2-43e738e85826 · outbound

This paper cites Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:50.161369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:50.161369Z digest=sha256:2d3343aedf694106848215d85b48b647ac130736c9e402666a4adede1e2cfdda

Observation 2a42dd05-2c75-448e-9c31-d40b163e3336 · outbound

This paper cites A Tri-Layer Plugin to Improve Occluded Detection.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering A Tri-Layer Plugin to Improve Occluded Detection

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:02:50.364263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:02:50.166037Z digest=sha256:62a28f23552bde44373a36be25bc2de56bc06c4c2c328123c5b1804f00978f3c

Observation 6f9ac3d8-58cb-4be5-b694-3ff6c97f8e71 · outbound

This paper cites Amodal ground truth and completion in the wild.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Amodal ground truth and completion in the wild

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.672312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:02:50.170096Z digest=sha256:d70532fb5b968cb34c0c43425fb16543d2c64c6349ecd0d6c6028aace5b08b32

Observation 2172b99d-6e07-4246-91ab-da01cac2d7e5 · outbound

This paper cites Self-supervised scene de- occlusion.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Self-supervised scene de- occlusion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.657257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:02:50.174342Z digest=sha256:61b60e0ef17be269ef28deb0270f52a61ba33dafe329ee220772ce8318ded29e

Observation 132c0a30-1b18-4927-8bc1-ac5ff0b34fcc · outbound

This paper cites Transparent Image Layer Diffusion using Latent Transparency.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Transparent Image Layer Diffusion using Latent Transparency

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:50.178458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:50.178458Z digest=sha256:4331b5c945d053a18e6c62a3eb9d01f47f597201a4835bc651c817c200950996

Observation 62c7a7ff-8c06-4836-bba8-25d9df20d256 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Adding conditional control to text-to-image diffusion models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:50.182857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:50.182857Z digest=sha256:1faafbf617c3e7a157a7b2bbc428bf9606f20e93cead2e0ed1da35d7155a4c33

Observation 3bd2ea2c-adc8-43e3-a7a2-969bb5702deb · outbound

This paper cites IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:50.187953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:50.187953Z digest=sha256:6bc9fb637ebf42c8be1b8d9410be90f27c4ce0783aaaee25561735d67b61782c

Observation c57222c2-a0c8-4109-88ad-534b5e67542d · outbound

This paper cites Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.631513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:02:50.192230Z digest=sha256:8b85ba25a392d860cc953309bff3b52a91a902eaab03c04cb08478e5f4a6ea38

Observation 3a0a0791-f0f0-4403-aa3a-1f8c1035334e · outbound

This paper cites Migc: Multi-instance generation controller for text-to-image synthesis.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Migc: Multi-instance generation controller for text-to-image synthesis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.616292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:02:50.196536Z digest=sha256:bcc9860a726140d24cfcecd48c34e6d0b1be767db9ad009d453acf4df6f44a04

Observation e7dd21b0-e67b-438f-9fe0-a932f7c3c55f · outbound

This paper cites 3dis: Depth-driven decoupled instance synthesis for text-to-image generation.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering 3dis: Depth-driven decoupled instance synthesis for text-to-image generation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:50.200448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:50.200448Z digest=sha256:24bc5718ff975b1f88213ec940f9f417ed9a0fa245dead81af20cb1be26a27f6

Observation de53db19-ecf0-4d45-bb6a-3b11d4a1182a · outbound

This paper cites Human de-occlusion: Invisible perception and recovery for humans.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Human de-occlusion: Invisible perception and recovery for humans

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.601583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:02:50.204753Z digest=sha256:f2a0e189a2ee8e1a4e0335da813842f72af8ef2ca834c0a60bb15ca947db5b6a

Observation fbedf54f-b2fe-4886-ba5e-5556c18cc4a0 · outbound

This paper cites #!#"$!$" $%&.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering #!#"$!$" $%&

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:02:50.586865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:02:50.208843Z digest=sha256:80effd6edac5bd21f7e6c421b490f38a7ce28ac6bfef53a3ebf27422c272ff15

Pith citing papers

No inbound Pith citation observations are available.