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Paper Citation Record · LEDGER

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2412.11972.

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

pith.paper-citation-record.v1
2412.11972 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:29:30.079100Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15713834-bd8e-4039-80a5-51d447fec3ce · outbound

This paper cites Flash diffusion: Accelerating any conditional diffusion model for few steps image gen- eration, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Flash diffusion: Accelerating any conditional diffusion model for few steps image gen- eration, 2024

Reference 1

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d9994d69-fac9-4089-9f4d-fb705552afbd · outbound

This paper cites Diffusion models in vi- sion: A survey.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Diffusion models in vi- sion: A survey

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d5a0533c-21a4-4a17-864f-739a123e1cfd · outbound

This paper cites Nerdi: Single-view nerf syn- thesis with language-guided diffusion as general image priors.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Nerdi: Single-view nerf syn- thesis with language-guided diffusion as general image priors

Reference 3

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Source-reported events for the cited work

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Observation a0edf881-b82d-42b8-aab0-751e7429f486 · outbound

This paper cites Blenderproc, 2019.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Blenderproc, 2019

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 38bb777e-4b6e-4038-aae1-0702b59f6e20 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Scaling rectified flow transformers for high-resolution image synthesis

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 281c0c97-147f-44bb-b366-98c23dc16846 · outbound

This paper cites Generative adversarial nets.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Generative adversarial nets

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6a85019d-73f0-4ac2-9872-bf04f535d9a0 · outbound

This paper cites Modeling and anima- tion using blender: blender 2.80: the rise of Eevee.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Modeling and anima- tion using blender: blender 2.80: the rise of Eevee

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c7a0cb35-22d5-4e5e-95fd-9e22e9519825 · outbound

This paper cites Lotus: Diffusion-based visual foun- dation model for high-quality dense prediction, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Lotus: Diffusion-based visual foun- dation model for high-quality dense prediction, 2024

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9a4a50e6-2707-4bf9-b520-f17a8ad476b0 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Distilling the Knowledge in a Neural Network

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9860f880-08ca-4b2b-890a-d8dfb5c4621e · outbound

This paper cites Denoising diffusion probabilistic models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Denoising diffusion probabilistic models

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e8b69d53-b81f-49aa-89f4-81230dce9748 · outbound

This paper cites Shadow gen- eration for composite image in real-world scenes.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shadow gen- eration for composite image in real-world scenes

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 56b0a3b4-ebd3-44a5-9b9d-8a3d8a7c604d · outbound

This paper cites Diffusion for natural image matting, 2023.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Diffusion for natural image matting, 2023

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 517ec39a-00c2-42a0-814e-8750efeaf0e1 · outbound

This paper cites Blender cycles: lighting and rendering cookbook.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Blender cycles: lighting and rendering cookbook

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9c9cfb01-6331-4e59-b9f6-466bc8ad1948 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Repurposing diffusion-based image generators for monocular depth estimation

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.672802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 658da0b8-7fbb-4d1d-a14e-77dd02db3214 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data 3d gaussian splatting for real-time radiance field rendering

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 74218728-5207-40b4-9f20-3210bc928bb5 · outbound

This paper cites Variational diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Variational diffusion models

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bbeaf497-c3b0-42a9-ab63-c087a8df8a4e · outbound

This paper cites Auto-encoding variational bayes,.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Auto-encoding variational bayes,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.919497Z digest=sha256:d049187388271a29882a0acd846844b2a0f9ea784f1557a7fdd4a31fa05d35de

Observation 3ff1f3d5-8a26-4364-925e-20d41f216d20 · outbound

This paper cites Fast template matching.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Fast template matching

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f381ba22-a505-43e4-88bd-07eec0e37ea1 · outbound

This paper cites Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation adccd376-0c15-43f9-93c7-9cb5017e3a8d · outbound

This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Controlnet++: Improving conditional controls with efficient consistency feedback

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0fa82657-ee75-427a-bc14-1b5906395fbf · outbound

This paper cites Flow matching for generative modeling.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Flow matching for generative modeling

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e1bebfd7-5661-4201-a633-18aefb46cbd9 · outbound

This paper cites One- 2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data One- 2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e4bb150d-70ac-4e91-8716-4025e631b342 · outbound

This paper cites Shadow generation for com- posite image using diffusion model.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shadow generation for com- posite image using diffusion model

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3e2f12c4-2574-4f9e-bf7a-d55868432ae3 · outbound

This paper cites Shadows shed light on 3d objects, 2022.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shadows shed light on 3d objects, 2022

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7e14540a-11d7-4d0d-8a76-2bbece054e26 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Zero-1-to-3: Zero-shot one image to 3d object

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.534368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a7731a97-334e-4426-b974-f10a00f9f226 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 26

Resolution
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raw_fallback, observed 2026-08-11T14:29:30.518884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5bab5d19-e878-46b4-a6c6-d7fcae091454 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 70ebcc4d-a2e2-4139-b2ee-5f14ff97cea3 · outbound

This paper cites Decoupled weight decay regularization.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Decoupled weight decay regularization

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:29.960899Z digest=sha256:d46fb655ca744a5f3f3a0f145da577e33fb3886d74405e4e9d5ae29af75d5d70

Observation dc5abb5b-a7c1-4b56-925d-0bd87fd9a428 · outbound

This paper cites Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023

Reference 29

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raw_fallback, observed 2026-08-11T14:29:30.484206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c532f01d-cccd-4e7c-a6ba-5dd55fbf7497 · outbound

This paper cites On distillation of guided diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data On distillation of guided diffusion models

Reference 30

Resolution
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raw_fallback, observed 2026-08-11T14:29:30.471779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 65ee536d-3f1f-456d-8955-b75223b3f18e · outbound

This paper cites Latent-nerf for shape- guided generation of 3d shapes and textures.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Latent-nerf for shape- guided generation of 3d shapes and textures

Reference 31

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raw_fallback, observed 2026-08-11T14:29:30.461057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.969867Z digest=sha256:cee276e42a6bcc92bb36006ee160ca870251580f38696bf03db9779cb472544b

Observation 13c7af4d-d497-4767-84c5-66e50095731d · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Srinivasan, Matthew Tancik, Jonathan T

Reference 32

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raw_fallback, observed 2026-08-11T14:29:30.448970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.973472Z digest=sha256:56bd4e410ffe21e4e9b51a90d8de8d159616e4d16161c1c4988c76a5bcf9dc36

Observation b0a90e4f-b615-4daf-8d67-06927536d3db · outbound

This paper cites T2i- adapter: Learning adapters to dig out more control- lable ability for text-to-image diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data T2i- adapter: Learning adapters to dig out more control- lable ability for text-to-image diffusion models

Reference 33

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raw_fallback, observed 2026-08-11T14:29:30.437351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.976891Z digest=sha256:74cb4fe1d4682fd263b1bf11884eef0f00880aa1ce8eec586209d027c630e469

Observation 173520eb-28ab-4dd8-ae9d-df762ceb1377 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.425306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.980290Z digest=sha256:f502920435a70a5b7b4023a2001885f14a8a3a0b5a8b6aa23519ff32f90e97df

Observation bd292a63-310b-4af2-ae78-4ec638db69f7 · outbound

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

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data High- resolution image synthesis with latent diffusion mod- els

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.413615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.983566Z digest=sha256:529c1cb6f141000d7c9ae447defc195d91847a24c1a34c1aec01d3bff832e353

Observation c32b53c2-62a1-4299-b5fc-c3c8a084ca1d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data U-net: Convolutional networks for biomedical image segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.402941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.987161Z digest=sha256:7001844b2ee0fac9ad1c883dd8456d3556f9bf95445fb31fe4059979f27b4a6a

Observation 9060e6fe-13e4-41e4-8fee-fdf21906efc2 · outbound

This paper cites Progressive distilla- tion for fast sampling of diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Progressive distilla- tion for fast sampling of diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.391902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.992274Z digest=sha256:f2ba35a6d28fcc4b711ca18517c61d27a89a6eb21f60cc8e155e5aceb8158499

Observation 6efcb1d2-2fd6-41c0-be55-04dc0d9a9361 · outbound

This paper cites Adversarial diffusion distillation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Adversarial diffusion distillation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.381475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.995995Z digest=sha256:1f9e40c9e0d73183688fd69e3313cfd61502c4ec83488d304b70e276ce8b6058

Observation 671f54bf-d747-4c73-8fda-a28fa70fcd8d · outbound

This paper cites an unresolved cited work.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:29:30.371438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.000008Z digest=sha256:9a63fcd7b128e08a37d5a8283ea9da24c7a97d9e6b4ba2617cf22ba5ffb30cdd

Observation 6ba23e74-7642-4224-9afd-9ba302eb4d87 · outbound

This paper cites Ssn: Soft shadow network for image compositing.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Ssn: Soft shadow network for image compositing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.361597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.004123Z digest=sha256:f6f62bd6f0688c93bafeae0778f92f02927edfc7f9da1d945d354cffd63f8180

Observation 77279114-9f71-4b75-8d21-e00fd76f0a9b · outbound

This paper cites Controllable shadow generation using pixel height maps.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Controllable shadow generation using pixel height maps

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.349594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.007933Z digest=sha256:62d5287dc71a5a540190361bccf1b0567e8c0be3be346a5c2adad0d7cc139c42

Observation ea0a140a-9ec7-4dbc-99a8-2e799d5ffcdd · outbound

This paper cites Pixht-lab: Pixel height based light effect generation for image compositing.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Pixht-lab: Pixel height based light effect generation for image compositing

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.338347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.011556Z digest=sha256:0a666aea940dd81fa2c71487c6f386c3ed18bcb1f0e00f88b814a3d3f5f3bc9b

Observation 1181eef5-3126-4b53-8f9a-3b7c7da30e21 · outbound

This paper cites Realistic ray trac- ing.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Realistic ray trac- ing

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.326576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.015369Z digest=sha256:4d9d3a565a4189e68fea4b269555d4536c8de3f396e176328433923e5394b4d7

Observation 429f482d-456c-4c74-884c-8d6e500c00fd · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Deep unsupervised learning using nonequilibrium thermodynamics

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.313810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.019552Z digest=sha256:de72f2d84ddd44cc6af6ecd05cf298e9821f4885c6fc8f27a927ca5aa8f99b83

Observation 9d787d5a-1c0d-4f9b-b017-5c43cf854ea7 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Score-based generative modeling through stochastic differential equations

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.303275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.023608Z digest=sha256:e2dd03f5e3f10a3c55b0d82572af8881d2ab5fb7897d7e7bd818279b1fc12e6f

Observation e7fb6046-e075-4835-bc60-fcf60f68efc6 · outbound

This paper cites Objectstitch: Object compositing with diffu- sion model.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Objectstitch: Object compositing with diffu- sion model

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.292120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.027977Z digest=sha256:d44158a85529ba9ad67046df3b579ee306341509840f48512efe37ee2fe57c6f

Observation 223cb636-ebe5-43c8-9435-3f23bca69d4c · outbound

This paper cites Rigid-body dynamics with friction and impact.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Rigid-body dynamics with friction and impact

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.279704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.032784Z digest=sha256:3a5605d12e93091ff988c9b0b366b7694309c5b4e12f2780b7e3b7b480808e14

Observation b70ab44a-1acd-424a-bd46-d8d2df3bc7f2 · outbound

This paper cites Single image portrait relighting.TOG, 38(4):1–12,.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Single image portrait relighting.TOG, 38(4):1–12,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.268221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.037106Z digest=sha256:18843ded6d097300b19b1e7fcf2678860baaf166ce0076d1cc797d3d75969a01

Observation 3451cb12-e2a8-4623-8b79-b72359354100 · outbound

This paper cites The art and style of product pho- tography.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data The art and style of product pho- tography

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.255826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.040977Z digest=sha256:fd2cc66b3c3e257265cb940444e675c79802301aa2ea53fc9f96b16ea85fbbae

Observation 140b94e9-02c2-442e-ab4d-dbb68895c63f · outbound

This paper cites Matting by generation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Matting by generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.243778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.044416Z digest=sha256:4c69f0e1776a846739a1ea23007688b3a8a1f39f3ee2f5e71b51ab6c3f0ba422

Observation 6e712cb6-7b57-40a0-9d71-7bd43cf6ed72 · outbound

This paper cites Object- drop: Bootstrapping counterfactuals for photorealistic object removal and insertion, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Object- drop: Bootstrapping counterfactuals for photorealistic object removal and insertion, 2024

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.232994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.048001Z digest=sha256:46f3aa45b7331d2da48669ca92070983935a11156dfc8d1a827e215048627c15

Observation 9a53c231-b899-48db-ad28-b86e20825342 · outbound

This paper cites Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.221910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.051659Z digest=sha256:d265197b2af7ae5ecd5f3bf0aee10851aa1d8c6fc24b360feb51a32712825188

Observation b1e4f669-c8ee-4b7b-9626-bbb4e3aacdf5 · outbound

This paper cites UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T14:29:30.055179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:30.055179Z digest=sha256:6a4211d456a7d19eef93e74905a2ac7ed557cc729cd568df73cd5750a22249c6

Observation 49eda897-0a3d-4395-870c-be91df34459b · outbound

This paper cites Diffusion models: A comprehen- sive survey of methods and applications.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Diffusion models: A comprehen- sive survey of methods and applications

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.209487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.059040Z digest=sha256:d125c7409e56baefa397e57884e650d1ec41ded6620d2b785905c48e02bd8dd8

Observation dc196a28-5808-4596-b05c-dc788ad8530e · outbound

This paper cites Stablenormal: Reducing diffu- sion variance for stable and sharp normal.TOG, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Stablenormal: Reducing diffu- sion variance for stable and sharp normal.TOG, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.197348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.062500Z digest=sha256:16716c65b7686da7ddcbf1e2fb03ceb7538a7db922ff4ecb825fc191416ab1b3

Observation ca5657c9-cccd-4703-ab62-679ebf5c594f · outbound

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

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Adding conditional control to text-to-image diffusion models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T14:29:30.065732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:30.065732Z digest=sha256:3fcb64f34ab2a8eefd0555d764127dd3b1572ab2a67fffd5f9fabd34cb27822d

Observation b09a7b21-097e-44df-bb90-cd616bf22085 · outbound

This paper cites Shad- owgan: Shadow synthesis for virtual objects with con- ditional adversarial networks.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shad- owgan: Shadow synthesis for virtual objects with con- ditional adversarial networks

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.178771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.068756Z digest=sha256:2591eefaaefd1d96838803b13d17af5e21d2b9918feecf58111b9763678031b7

Observation 0eb836bd-425c-4d88-8717-38f0f560052d · outbound

This paper cites 4.1, we gathered 9,922 3D meshes created by professional artists publicly available on blenderkit 2 with a free of use, representing a diverse array of real-world object categories.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data 4.1, we gathered 9,922 3D meshes created by professional artists publicly available on blenderkit 2 with a free of use, representing a diverse array of real-world object categories

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.166733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.071816Z digest=sha256:e4de85dce852c857db74e7c0aeca1a02b36502f1f920f34613920a0f56b5754e

Observation 38983334-a53a-4a35-b3ea-364f471a0158 · outbound

This paper cites 8 compares models trained with various prediction types across multiple sampling steps and training iterations, using only IoU as the evaluation metric.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data 8 compares models trained with various prediction types across multiple sampling steps and training iterations, using only IoU as the evaluation metric

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.155049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.074900Z digest=sha256:d110640cc420313bb4b02eee19abe50583d9f7b0278ba1235c6ed68786bf91db

Observation 8a04ac7e-b01b-4cc9-bad4-7a41b912da21 · outbound

This paper cites Some 3D meshes, such as those in the seating set category (see Fig.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Some 3D meshes, such as those in the seating set category (see Fig

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.140259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.079100Z digest=sha256:73b646f56a5babe5b60b110f09bb3606f0f11b49c8fa3ab8f71649e6c00e7396

Pith citing papers

No inbound Pith citation observations are available.